List Of Menu Items and Plugins
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Contents |
Purpose of this page
The purpose of this page is to provide a rough overview of RKWard's features, as well as a quick reference for the menu items and their use. For this purpose we will not make a distinction between built-in features and standard plugins. There is an extra page where third party plugins are documented (and linked to).
This page contains only some very short descriptions. For items in need of more detailed information, please create a new page.
State of this page
This page is currently very incomplete!
List / Documentation of Menu Items
File
Save / Load
Save
- Save as R object
This plug-in allow you to save a R project. Note : you can save an R project by exiting RKWard, a window appears to ask you if you want saving the R space project, click on yes and choose the name (do not forgot the R extension).
- Save package
- Save variables
Save only one variable in a file.
Load
- Load a R object
This plug-in allow you to open a R project.
- Load data
This plug-in allow you to import CSV data from a databank or a data from an office suite.
- Load source file
Save as table
Allow export data as table (csv) to import them in office suite as csv file. You can choose data, columns, rows, characters for decimal values, to separate value and a lot of others options.
Edit
Workspace
Output
Run
Analysis
Basic statistics
Correlation
Correlation matrix
Calculate a correlation matrix between two or more variables.
Correlation matrix plot
On top the (absolute) value of the correlation is presented plus the result of the cor.test as stars. On bottom, the bivariate scatterplots are plotted with a fitted line. The graph and the code can be found at R Graph Gallery (137) Correlation Matrix, from where was adapted and formatted for RKWard.
Descriptive Statistics
Currently this allows you to calculate the mean, median, range, and standard deviation of one or more variables.
Means
Simple anova
This plug-in allow you to perform a simple anova. Analysis of variance (ANOVA) is a collection of statistical models and their associated procedures which compare means by splitting the overall observed variance into different parts [Wikipedia encyclopedia].
Skewness and Kurtosis
Wilcoxon Tests
Ansari-Bradley Tests
Plots
Box Plot
Density Plot
ECDF Plot
Histogram
Scatterplot
Scatterplot Matrix
Scatterplot matrix plot produces scatterplot matrices with univariate displays down the diagonal. You can choose among Density plot, Boxplot, Histogram, QQplot.
Stripchart
Distributions
Jarque-Bera Normality Test
Used to test against the normality of a random variable.