A set of tools designed to facilitate easy adoption of R for students in introductory classes with little programming experience. Compiles output from existing routines together in an intuitive format, and adds functionality to existing functions. For instance, the regression function can perform linear models, generalized linear models, Cox models, or generalized estimating equations. The user can also specify multiple-partial F-tests to print out with the model coefficients. We also give many routines for descriptive statistics and plotting.
|Author||Scott S. Emerson [aut], Andrew J. Spieker [aut], Brian D. Williamson [aut], Travis Y. Hee Wai [aut, cre], Solomon Lim [aut], R Core Team [ctb], Terry M Therneu [ctb], Thomas Lumley [ctb]|
|Date of publication||2016-09-22 09:23:01|
|Maintainer||Travis Y. Hee Wai <firstname.lastname@example.org>|
bplot: Boxplot with Lowess Curves, Jittered Data, Overlaid Mean and...
clusterStats: Summary Measures within Clusters
descrip: Descriptive Statistics
dummy: Create Dummy Variables
lincom: Tests of Linear Combinations of Regression Coefficients
lspline: Create Linear Splines
mri: MRI data
oneSample: One Sample Inferential Methods
polynomial: Create Polynomials
predict.uRegress: Prediction Intervals for 'uRegress' objects
regress: General Regression for an Arbitrary Functional
scatter: Scatter Plot with Lowess Curves
tableStat: Table of Stratified Descriptive Statistics
tabulate: Table Variables, with Stratification and Statistical Tests
ttest: T-test with Improved Layout
ttesti: T-test Given Descriptive Statistics with Improved Layout
U: Create a Transformed Variable
uResiduals: Extract Residuals from uRegress objects
uwIntroStats-package: Descriptive Statistics, One Sample Inference, Regression, and...
wilcoxon: Wilcoxon Signed Rank and Mann-Whitney-Wilcoxon Rank Sum Test