OneTwoSamples: Deal with one and two (normal) samples
Version 1.0-3

In this package, we introduce an R function one_two_sample() which can deal with one and two (normal) samples. For one normal sample x, the function reports descriptive statistics, plot, interval estimation and test of hypothesis of x. For two normal samples x and y, the function reports descriptive statistics, plot, interval estimation and test of hypothesis of x and y, respectively. It also reports interval estimation and test of hypothesis of mu1-mu2 (the difference of the means of x and y) and sigma1^2 / sigma2^2 (the ratio of the variances of x and y), tests whether x and y are from the same population, finds the correlation coefficient of x and y if x and y have the same length.

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AuthorYing-Ying Zhang (Robert)
Date of publication2013-05-29 11:55:34
MaintainerYing-Ying Zhang (Robert) <robertzhangyying@qq.com>
LicenseGPL (>= 2)
Version1.0-3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("OneTwoSamples")

Man pages

data_outline: Compute various descriptive statistics
detail: Show details of an object
interval_estimate1: Two sided interval estimation of 'mu' of one normal sample
interval_estimate2: Two sided interval estimation of 'mu1-mu2' of two normal...
interval_estimate3: Two sided interval estimation of 'mu' of one non-normal...
interval_estimate4: Two sided or one sided interval estimation of 'mu' of one...
interval_estimate5: Two sided or one sided interval estimation of 'mu1-mu2' of...
interval_var1: Two sided interval estimation of 'sigma^2' of one normal...
interval_var2: Two sided interval estimation of 'sigma1^2 / sigma2^2' of two...
interval_var3: Two sided or one sided interval estimation of 'sigma^2' of...
interval_var4: Two sided or one sided interval estimation of 'sigma1^2 /...
mean_test1: Two sided or one sided test of hypothesis of 'mu' of one...
mean_test2: Two sided or one sided test of hypothesis of 'mu1' and 'mu2'...
one_sample: Deal with one (normal) sample
one_two_sample: Deal with one and two (normal) samples
OneTwoSamples-package: Deal with one and two (normal) samples
p_value: Compute the P value
var_test1: Two sided or one sided test of hypothesis of 'sigma^2' of one...
var_test2: Two sided or one sided test of hypothesis of 'sigma1^2' and...

Functions

OneTwoSamples Man page
OneTwoSamples-package Man page
data_outline Man page Source code
detail Man page Source code
interval_estimate1 Man page Source code
interval_estimate2 Man page Source code
interval_estimate3 Man page Source code
interval_estimate4 Man page Source code
interval_estimate5 Man page Source code
interval_var1 Man page Source code
interval_var2 Man page Source code
interval_var3 Man page Source code
interval_var4 Man page Source code
mean_test1 Man page Source code
mean_test2 Man page Source code
one_sample Man page Source code
one_two_sample Man page Source code
p_value Man page Source code
var_test1 Man page Source code
var_test2 Man page Source code

Files

MD5
vignettes
vignettes/tabu.sty
vignettes/mybib.bib
vignettes/flowchart.pdf
vignettes/RnwToTex.R
vignettes/OneTwoSamples.Rnw
tests
tests/tests_OneTwoSamples.R
man
man/var_test2.Rd
man/var_test1.Rd
man/p_value.Rd
man/one_two_sample.Rd
man/one_sample.Rd
man/mean_test2.Rd
man/mean_test1.Rd
man/interval_var4.Rd
man/interval_var3.Rd
man/interval_var2.Rd
man/interval_var1.Rd
man/interval_estimate5.Rd
man/interval_estimate4.Rd
man/interval_estimate3.Rd
man/interval_estimate2.Rd
man/interval_estimate1.Rd
man/detail.Rd
man/data_outline.Rd
man/OneTwoSamples-package.Rd
inst
inst/doc
inst/doc/OneTwoSamples.pdf
inst/doc/OneTwoSamples.Rnw
inst/doc/OneTwoSamples.R
R
R/var_test2.R
R/var_test1.R
R/p_value.R
R/one_two_sample.R
R/one_sample.R
R/mean_test2.R
R/mean_test1.R
R/interval_var4.R
R/interval_var3.R
R/interval_var2.R
R/interval_var1.R
R/interval_estimate5.R
R/interval_estimate4.R
R/interval_estimate3.R
R/interval_estimate2.R
R/interval_estimate1.R
R/detail.R
R/data_outline.R
NAMESPACE
DESCRIPTION
ChangeLog
OneTwoSamples documentation built on May 19, 2017, 10:42 a.m.