Rguroo Quick Guide


This quick guide will help get you started in Rguroo by providing step-by-step instructions for common analyses. Within this guide are links that will take you to relevant chapters/videos of our comprehensive User's Guide User's guide and our Video Tutorial Library Instructional video.


Getting Data into Rguroo User's guide

Import a File

  1. Open the Data toolbox on the left-hand side of the Rguroo window. Use the Data Import dropdown menu and choose the Data Frame option.

  2. Choose a file or enter a URL. Adjust the other options appropriately.

    Screenshot of the File Import GUI
  3. Select Upload.

Create New Data Frame

  1. Open the Data toolbox on the left-hand side of the Rguroo window. Use the Data Import dropdown menu and choose the Create New Data Frame option.

  2. Use the add row and add column buttons to make the data frame your desired size. Add data and variable names.

  3. Give your new data frame a name and select Save As….

Importing Data from Rguroo's Data Repository User's guide

  1. Open the Data toolbox on the left-hand side of the Rguroo window. Use the Data Import dropdown menu and choose the Repository option.

  2. If you know the name of the repository you are looking for, enter the name of the repository in the Search Repository… field.

    Screenshot of the Repository Dataset Import GUI
  3. Select your desired repository. A list of all datasets within the selected repository will appear in the lower panel.

    Screenshot of the Repository Dataset Import GUI with the Rguroo Users Guide repository selected
  4. Highlight your desired dataset and select Import.


Data Functions

Subsetting Rows & Columns User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Data toolbox on the left-hand side of the Rguroo window. Use the Functions dropdown menu and choose the Subset option.

  3. Select a Dataset.

    Rguroo Instruction
  4. To subset Rows: select Sequence and/or Logical Expression. If using multiple criteria to subset rows, the Set Calculator is required.

    Rguroo Instruction Rguroo Instruction Rguroo Instruction
  5. To subset Columns: select Select Columns and use the arrows or drag-and-drop to place the desired variables in the right column.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Sorting Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Data toolbox on the left-hand side of the Rguroo window. Use the Functions dropdown menu and choose the Sort option.

  3. Select a Dataset and use the green plus button green plus to add a sorting criterion, which includes a variable and a choice of ascending/descending.

    Screenshot of Data Sort GUI
  4. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Summary Statistics User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Data toolbox on the left-hand side of the Rguroo window. Use the Functions dropdown menu and choose the Summary Statistic option.

  3. Select a Dataset and Numerical variable. Using the checkboxes, select the statistics desired.

    Screenshot of Summary Statistics GUI
  4. Select the preview icon preview icon. Choose "All Observations".

    Screenshot of Rguroo output.


Plots

Bar Plot Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Barplot option.

  3. Select a Dataset. To create a barplot with categories across the x-axis, open the Categorical tab.

  4. Select a Factor variable, adjust the other options appropriately, and add a title.

    Screenshot of Barplot GUI
  5. Select the preview icon preview icon.

    Screenshot of a barplot displaying the number of cars by class.

Box Plot Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Boxplot option.

  3. Select a Dataset, Numerical variable, and Factor variable. Adjust the other options appropriately and add a title. Screenshot of Boxplot GUI

  4. Select the preview icon preview icon.

    Screenshot of side-by-side boxplots displaying the MPG of cars by class.

Bubble Plot User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Bubbleplot option.

  3. Select a Dataset, Predictor (x) variable, Response (y) variable, and a Bubble Size variable. Screenshot of Bubbleplot GUI

  4. Select the preview icon preview icon.

    Screenshot of a bubbleplot displaying MPG by HorsePower, with Weight as the bubble size.

Dot Plot User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'Titanic' dataset found in the 'R datasets' repository.

    Screenshot of the first 5 rows of the Titanic dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Dotplot option.

  3. Select a Dataset and Numerical variable. Adjust the other options appropriately and add a title.

    Screenshot of Dotplot GUI
  4. Select the preview icon preview icon.

    Screenshot of a dotplot displaying the age distribution of Titanic passengers.

Histogram Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Histogram option.

  3. Select a Dataset and Variable. Adjust the other options appropriately and add a title.

    Screenshot of Histogram GUI
  4. Select the preview icon preview icon.

    Screenshot of a histrogram displaying MPG of cars.

Line Graph Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'AirPassengers' dataset found in the 'R datasets' repository.

    Screenshot of the first 5 rows of the AirPassengers dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Scatterplot option.

  3. Select a Dataset, Predictor Variable, and Response Variable. Adjust the other options appropriately and add a title.

  4. Check the Line checkbox found in the Superimpose section.

    Screenshot of Scatterplot GUI
  5. Select the preview icon preview icon.

    Screenshot of a line graph showing the number of airline passengers over time.

Pie Chart Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Piechart option.

  3. Select a Dataset and Factor variable. Adjust the other options appropriately and add a title.

    Screenshot of Pie Chart GUI
  4. Select the preview icon preview icon.

    Screenshot of a pie graph showing the percentage of cars by class.

Scatterplot Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'AirPassengers' dataset found in the 'R datasets' repository.

    Screenshot of the first 5 rows of the AirPassengers dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Scatterplot option.

  3. Select a Dataset, Predictor Variable, and Response Variable. Adjust the other options appropriately and add a title.

    Screenshot of Scatterplot GUI
  4. Select the preview icon preview icon.

    Screenshot of a scatterplot of the number of airpline passengers over time.

Stem and Leaf Plot User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Plots toolbox on the left-hand side of the Rguroo window. Use the Create Plot dropdown menu and choose the Stem and Leaf option.

  3. Select a Dataset and Variable. Adjust the other options appropriately and add a title.

    Screenshot of Stem-and-Leaf GUI
  4. Select the preview icon preview icon.

    Screenshot of a stem and leaf plot showing the weight of vehicle.

Normal Probability Plot Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference and then select the One & Two Population option.

  3. Select a Dataset and Variable 1 and check the Normal Probability Plot checkbox.

    Rguroo Instruction
  4. Select the preview icon preview icon.

    Screenshot of a normal quantile-quantile plot.


Probabilty Calculations

Binomial Distribution (cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Discrete option.

  2. Select the option Values ⇒ Probability.

  3. Select Binomial as the Distribution, and enter the Number of Trials and Probability of Success.

  4. Select the option Below from the dropdown menu, then type the Number of Successes in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Binomial Distribution (pdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Discrete option.

  2. Select the option Values ⇒ Probability.

  3. Select Binomial as the Distribution, and enter the Number of Trials and Probability of Success.

  4. Select the option Equal from the dropdown menu, then type the Number of Successes in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Poisson Distribution (cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Discrete option.

  2. Select the option Values ⇒ Probability.

  3. Select Poisson as the Distribution, and enter a Mean (lambda) value.

  4. Select the option Below from the dropdown menu, then type the Number of Successes in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Poisson Distribution (pdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Discrete option.

  2. Select the option Values ⇒ Probability.

  3. Select Poisson as the Distribution, and enter a Mean (lambda) value.

  4. Select the option Equal from the dropdown menu, then type the Number of Successes in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Hypergeometric Distribution (pdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Select the Probability dropdown menu and choose the Probability Calculator then select the Discrete option.

  2. Select the option Values ⇒ Probability.

  3. Select Hypergeometric as the Distribution, and enter values for Success, Failures, and Draws.

  4. Select the option Equal from the dropdown menu. Then type the Number of Successes in the text field to the right.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

F-Distribution Probability (cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Continuous option.

  2. Select the option Values => Probability.

  3. Select F as the Distribution, and enter the Num. DF and Denom. DF.

  4. Select the option Below from the dropdown menu, then type the desired value in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon. Choose "All Observations".

    Screenshot of Rguroo output.

Chi-Square Distribution (cdf)

User's guide
  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator, then select the Continuous option.

  2. Select the option Values ⇒ Probability.

  3. Select Chi-Square as the Distribution and enter the Degrees of Freedom (DF). Leave the other parameters at default values.

  4. Select the option Below from the dropdown menu, then type the desired value in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Chi-Square Distribution: Upper Tail (cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Continuous option.

  2. Select the option Values ⇒ Probability.

  3. Select Chi-Square as the Distribution, and enter the Degrees of Freedom (DF). Leave other parameters at default values.

  4. Select the option Above from the dropdown menu, then type the desired value in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Chi-Square Distribution: Critical Value (inverse cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Continuous option.

  2. Select the option Probability ⇒ Values.

  3. Select Chi-Square as the Distribution, and enter the Degrees of Freedom (DF). Leave other parameters at default values.

  4. Select the option Upper Tail from the dropdown menu, then type the desired probability in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Normal Distribution (cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Select the Probability dropdown menu and choose the Probability Calculator then select the Continuous option.

  2. Select the option Values ⇒ Probability.

  3. Select Normal as the Distribution, and enter the Mean and Standard Deviation.

  4. Select the option Below from the dropdown menu, then type the value in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Normal Distribution (inverse cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Select the Probability dropdown menu and choose the Probability Calculator then select the Continuous option.

  2. Select the option Probability ⇒ Values.

  3. Select Normal as the Distribution, and enter the Mean and Standard Deviation.

  4. Select the option Lower Tail from the dropdown menu, then type the desired area in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

t-Distribution (cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Continuous option.

  2. Select the option Values ⇒ Probability.

  3. Select Student t as the Distribution, and enter the Degrees of Freedom (DF). Leave other parameters at default values.

  4. Select the option Below from the dropdown menu, then type the desired value in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

t-Distribution (inverse cdf) Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose the Probability Calculator then select the Continuous option.

  2. Select Student t as the Distribution, and enter the Degrees of Freedom.

  3. Select the option Probability => Values.

  4. Select the option Lower Tail from the dropdown menu, then type the desired Area in the text field.

  5. Adjust the other options appropriately, including selecting the Graph option and editing the Calculation Name, if desired.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.


Sampling from a Distribution Instructional video User's guide

  1. Open the Probability-Simulation toolbox on the left-hand side of the Rguroo window. Use the Probability dropdown menu and choose Random Generator.

  2. Select Uniform as the Distribution, and enter the Min (a) and Max (b) and Sample Size. Adjust the other options appropriately.

    Rguroo Instruction
  3. Select the preview icon preview icon.

    Screenshot of Rguroo output.


ANOVA

One-Way ANOVA Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'PlantGrowthX' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the PlantGrowthData dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the ANOVA option.

  3. Select a Dataset and Response variable.

  4. Open the one-way tab and select a Factor variable and set a Significance Level.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Two-Way ANOVA Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'PlantGrowthX' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the PlantgrowthX dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the ANOVA option.

  3. Select a Dataset and Response variable.

  4. Open the two-way tab and select Factor A and Factor B. If desired, select the Interaction (A X B) checkbox and set a Significance Level.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output. Screenshot of Rguroo output.


Linear Regression

Simple Linear Regression Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'AirPassengers' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the AirPassengers dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Linear Regression option, then Simple Regression.

  3. Select a Dataset, Predictor (x), and Response (y).

    Rguroo Instruction
  4. Select the preview icon preview icon.

    Screenshot of Rguroo output. Screenshot of Rguroo output.

Multiple Regression Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Linear Regression option, then Simple & Multiple Regression.

  3. Select a Dataset, Response, and set up the Formula using the variables and the +, :, and * buttons. Here we regress MPG by HP (Horsepower) and WT (Weight).

    Rguroo Instruction
  4. To add additional output to the report, open the Details menu at the top of the Rguroo window. Select the Model Estimates and Diagnostics Graphs tab. Drag-and-drop or use the arrows to move the desired tables and graphs to the right-hand box labelled Selected, these will be included in the report.

    • Correlation Coefficient: select Data Correlation

    • Coefficient of Determination: select (Adjusted) R-Squared, note this is included by default.

    • Confidence intervals for Slope and y-intercept: select Parameter Confidence Interval

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output. Screenshot of Rguroo output. Screenshot of Rguroo output.

Regression Prediction Intervals User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'AirPassengers' dataset found in the 'R datasets' repository.

    Screenshot of the first 5 rows of the AirPassengers dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Linear Regression option, then Simple & Multiple Regression..

  3. Select a Dataset, Response, and set up the Formula using the variables and preview icon, preview icon, and preview icon buttons. Here we regress the number of airline passengers by time.

    Rguroo Instruction
  4. Open the Details menu on the top of the Rguroo window and select the Fitted Values, Predictions and Interval Estimates tab. Here, move Prediction Interval to the Selected box using drag-and-drop or the menu arrows.

    • Using Internal Data:

      • Internal data refers to observations that are used to train the model. Any rows with a numeric value assigned to the response variable are treated as internal data.

      • Check the checkbox for Internal Data to output intervals for the dataset used to create the regression model

    • Using External Data:

      • External data refers to observations that are not used to train the model. Any rows with the response set to NA is treated as external data.

      • Check the checkbox for External Data to obtain intervals for unseen data.

    Rguroo Instrution
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Confidence Intervals for Slope and y-Intercept

See Multiple Regression.

Correlation Coefficient

See Multiple Regression.

Coefficient of Determination

See Multiple Regression.



Chi-Square Tests

Test of Independence (Association)

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'Cowles' dataset found in the 'car' repository.

    Screenshot of the first 5 rows of the Cowles dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Contingency Table option.

  3. Select a Dataset, Factor 1 and Factor 2 variables.

  4. Check the Chi-Square checkbox (with graph, if desired) under the Test of Independence section. Set the Significance Level.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output. Screenshot of Rguroo output.


Tabluation Methods: Frequency Distribution

Qualitative Frequency Distribution User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Tabulation option.

  3. Select a Dataset.

  4. Select Add Table and rename the table, if desired.

  5. Select a Factor 1 variable. Adjust the other options appropriately.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Quantitative Frequency Distribution User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Data toolbox on the left-hand side of the Rguroo window. Use the Functions dropdown menu and choose the Transform option.

  3. Select a Dataset.

  4. Use the green plus button Green plus button to add a new variable, give it a name. Because we want a count of grouped continuous data, we use the cut function to define the groups, e.g., cut(variable, breaks = seq(from, to, by)).

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.
  6. Use the Save As at the top of the Rguroo window to save the modified dataset under a new name.

  7. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the = Analysis dropdown menu and choose the Tabulation option.

  8. Select a Dataset.

  9. Select Add Table and rename the table, if desired.

  10. Select a Factor 1 variable. Adjust the other options appropriately.

    Rguroo Instruction
  11. Select the preview icon preview icon.

    Screenshot of Rguroo output.


Counting

Combination

  1. Open the Applets toolbox on the left-hand side of the Rguroo window. Use the Expand Button to expand the Calculators (Desmos) option and choose the Scientific Calculator.

  2. Select the func option to open the functions menu of the calculator.

  3. Select nCr and enter the two required parameters separated by a comma, as in nCrnr, where n=the number of unique objects and r=the number selected at a time.

    Rguroo Instruction

Factorial

  1. Open the Applets toolbox on the left-hand side of the Rguroo window. Use the Expand Button to expand the Calculators (Desmos) option and choose the Scientific Calculator.

  2. Select the func option to open the functions menu of the calculator.

  3. Enter the desired number and select !.

    Rguroo Instruction

Permutation

  1. Open the Applets toolbox on the left-hand side of the Rguroo window. Use the Expand Button to expand the Calculators (Desmos) option and choose the Scientific Calculator.

  2. Select the func option to open the functions menu of the calculator.

  3. Select nPr and enter the two required parameters separated by a comma, as in nPrnr, where n=the number of unique objects and r=the number of objects selected at a time.

    Rguroo Instruction


Confidence Intervals: Proportions

One Sample Proportion: z-Interval Instructional video User's guide

  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'Cowles' dataset found in the 'car' repository.

    Screenshot of the first 5 rows of the Cowles dataset.

    Using summary statistics:

    Continue to Step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Proportion Inference then select the One Population option.

  3. Using raw data:

    Select a Dataset, Factor variable and Success level. The summary statistics will be automatically populated.

    Using summary statistics:

    • Assign a Factor Label and Success Label.

    • Enter a Sample Size and # of Succ.

  4. Under the Confidence Interval section, set the Confidence Level and select the checkboxes for Binomial (Exact) and Large Sample z.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Two Sample Proportions: z-Interval Instructional video User's guide

  1. See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.
  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Proportion Inference option, then select the Two Populations option.

  3. Using raw data:

    • Select a Dataset. Under the Response/Success section, select a Response variable with a Success level.

    • Under the Population section, select a Population variable.

    • Open the Data Summary tab. Select a level for Population 1 and Population 2. These will be one of the levels from the Population variable. In this example, 'Domestic' is selected as Population 1 and 'Import' as Population 2. The summary statistics will be automatically populated.

    Using summary statistics:

    • Assign a Response Label, Success Label, and Population Label.

    • Under the Data Summary tab enter the following for Populations 1 and 2: Label, Sample Size and # of Successes.

  4. Open the Confidence Interval tab. Set a Confidence Level and check the Large Sample z checkbox.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.


Confidence Intervals: Mean Inference

One Sample t-Interval Instructional video User's guide

  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'LA CountyOzoneRandom' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the LACountyOzoneRandom dataset.

    Using summary statistics:

    Continue to Step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset and Variable 1. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Population 1: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1 tab, then open the Confidence Interval tab. Set the Confidence Level, and select the t-statistic checkbox.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

One Sample z-Interval Instructional video User's guide

  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'LA CountyOzoneRandom' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the LACountyOzoneRandom dataset.

    Using summary statistics:

    Continue to Step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset and Variable 1. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Population 1: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1 tab, then open the Confidence Interval tab. Set the Confidence Level and select the z-statistic checkbox.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Two Sample z-Interval Instructional video User's guide

  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'LA CountyOzoneRandom' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the LACountyOzoneRandom dataset.

    Using summary statistics:

    Continue to step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset, Variable 1, and Variable 2. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Populations 1 and 2: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1-2 tab, then open the Confidence Interval tab. Set the Confidence Level and select the z-statistic checkbox.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Two Sample t-Interval (Independent Samples) Instructional video User's guide

  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'LA CountyOzoneRandom' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the LACountyOzoneRandom dataset.

    Using summary statistics:

    Continue to step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset, Variable 1, and Variable 2. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Populations 1 and 2: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1-2 tab and select the appropriate choices in the Assumptions section.

  5. Open the Confidence Interval tab. Set the Confidence Level and select the t-statistic checkbox.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Two Sample t-Interval (Dependent Samples, Paired Difference) User's guide

  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'immer' dataset found in the 'MASS' repository. In this example, we use the variables 'Y1' and 'Y2'.

    Screenshot of the first 5 rows of the Immer dataset.

    Using summary statistics:

    Continue to step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset, Variable 1, and Variable 2. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Populations 1 and 2: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Screenshot of the first 5 rows of the AirPassengers dataset. Open the Population 1-2 tab, then open the Paired Data checkbox under the Assumption section.

  5. Open the Confidence Interval tab. Set a Confidence Level and select the t-statistic checkbox.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.


Hypothesis Testing: Proportions

One Proportion z-Test

Instructional video User's guide
  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'Cowles' dataset found in the 'car' repository.

    Screenshot of the first 5 rows of the Cowles dataset.

    Using summary statistics:

    Continue to Step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Proportion Inference option, then select the One Population option.

  3. Using raw data:

    Select a Dataset and Factor variable and Success level. The summary statistics will be automatically populated.

    Using summary statistics:

    Assign a Factor Label and Success Label. Enter a Sample Size and # of Succ.

  4. Under the Test of Hypothesis section, set a Significance Level, set an Alternative p., and select the checkbox for Large Sample z (p = p0).

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Two Proportion z-Test

Instructional video User's guide
  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'cardata' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the Cardata dataset.

    Using summary statistics:

    Continue to Step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Proportion Inference then select the Two Populations option.

  3. Using raw data:

    • Select a Dataset. Under the Response/Success section, select a Response variable with a Success level.

    • Under the Population section, select a Population variable.

    • Open the Data Summary tab. Select a level for Population 1 and Population 2. These will be one of the levels from the Population variable. In this example, 'Domestic' is selected as Population 1 and 'Import' as Population 2. The summary statistics will be automatically populated.

    Using summary statistics:

    • Assign a Response Label, Success Label, and Population Label.

    • Under the Data Summary tab enter the following for Populations 1 and 2: Label, Sample Size and # of Successes.

  4. Open the Test of Hypothesis tab. Set a Significance Level, set an Alt. Hypothesis p1 - p2, and check the Large Sample z checkbox.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output. Screenshot of Rguroo output.


Hypothesis Testing: Mean Inference

One Sample z-Test

Instructional video User's guide
  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'LA CountyOzoneRandom' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the LACountyOzoneRandom dataset.

    Using summary statistics:

    Continue to Step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset and Variable 1. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Population 1: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1 tab, then open the Test of Hypothesis tab. Set a Significance Level, set an Alternative hyp. 𝞵, and select the z-statistic checkbox.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

One Sample t-Test

Instructional video User's guide
  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'LA CountyOzoneRandom' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the LACountyOzoneRandom dataset.

    Using summary statistics:

    Continue to Step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset and Variable 1. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Population 1: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1 tab, then open the Test of Hypothesis tab. Set a Significance Level, and set an Alternative hyp.𝞵, and select the t-statistic checkbox.

    Rguroo Instruction
  5. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Two Sample z-Test

Instructional video User's guide
  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'LA CountyOzoneRandom' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the LACountyOzoneRandom dataset.

    Using summary statistics:

    Continue to step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset, Variable 1, and Variable 2. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Populations 1 and 2: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1-2 tab, and select the appropriate choices in the Assumptions section.

  5. Open the Test of Hypothesis tab. Set a Significance Level, set an Alternative hyp. μ1μ2, and select the z-statistic checkbox.

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.

Two Sample t-Test (Dependent Samples, Paired Difference)

User's guide
  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'immer' dataset found in the 'MASS' repository. In this example, we use the variables 'Y1' and 'Y2'.

    Screenshot of the first 5 rows of the Immer dataset.

    Using summary statistics:

    Continue to step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset, Variable 1, and Variable 2. The summary statistics in the Summary tab will be automatically populated.

    Using summary statistics:

    Under the Summary tab enter the following for Populations 1 and 2: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1-2 tab and select the Paired Data checkbox under the Assumption section.

  5. Open the Test of Hypothesis tab. Set a Significance Level, set an Alternative hyp. μd, and check the t-statistic checkbox. (By default, the z-statistic is selected, uncheck the z-statistic checkbox if only a t-statistic is desired.)

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output. Screenshot of Rguroo output.

Two Sample t-Test (Independent Samples)

Instructional video User's guide
  1. Using raw data:

    See Creating a Data Frame to input your data or recreate the example below by Accessing the Rguroo Data Repository and using the 'LA CountyOzoneRandom' dataset found in the 'Rguroo Users Guide' repository.

    Screenshot of the first 5 rows of the LACountyOzoneRandom dataset.

    Using summary statistics:

    Continue to step 2.

  2. Open the Analytics toolbox on the left-hand side of the Rguroo window. Use the Analysis dropdown menu and choose the Mean Inference option, then select the One & Two Population option.

  3. Using raw data:

    Select a Dataset, Variable 1, and Variable 2. The summary statistics in the Summary tab will be automatically populated

    Using summary statistics:

    Under the Summary tab enter the following for Populations 1 and 2: Label, Sample Mean, Sample Size and at least one of Sample S.d. or Pop S.d..

  4. Open the Population 1-2 tab and select the appropriate choices in the Assumptions section.

  5. Open the Test of Hypothesis tab. Set a Significance Level, set an Alternative hyp. μ1μ2, and select the t-statistic checkbox. (By default, the z-statistic is selected. Uncheck the z-statistic checkbox if only a t-statistic is desired.)

    Rguroo Instruction
  6. Select the preview icon preview icon.

    Screenshot of Rguroo output.