uwIntroStats v0.0.7

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Descriptive Statistics, Inference, Regression, and Plotting in an Introductory Statistics Course

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.

Functions in uwIntroStats

Name Description
oneSample One Sample Inferential Methods
tableStat Table of Stratified Descriptive Statistics
uResiduals Extract Residuals from uRegress objects
uwIntroStats-package Descriptive Statistics, One Sample Inference, Regression, and Plotting in an Introductory Statistics Course
wilcoxon Wilcoxon Signed Rank and Mann-Whitney-Wilcoxon Rank Sum Test
scatter Scatter Plot with Lowess Curves
regress General Regression for an Arbitrary Functional
ttest T-test with Improved Layout
ttesti T-test Given Descriptive Statistics with Improved Layout
polynomial Create Polynomials
predict.uRegress Prediction Intervals for uRegress objects
tabulate Table Variables, with Stratification and Statistical Tests
correlate Correlation
dummy Create Dummy Variables
bplot Boxplot with Lowess Curves, Jittered Data, Overlaid Mean and Standard Deviation, for an Arbitrary Number of Strata
lincom Tests of Linear Combinations of Regression Coefficients
lspline Create Linear Splines
U Create a Transformed Variable
clusterStats Summary Measures within Clusters
mri MRI data
descrip Descriptive Statistics
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Vignettes of uwIntroStats

Name
regress_intro.Rmd
test_cases.Rmd
u_intro.Rmd
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Details

Type Package
Date 2018-10-9
License GPL-2
VignetteBuilder knitr
NeedsCompilation no
Packaged 2018-10-10 02:27:52 UTC; theewai
Repository CRAN
Date/Publication 2018-10-10 11:50:02 UTC

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