resulteR-package: Test Results for Reproducible Documents

Description Details Author(s) Examples

Description

The resulteR package aims to facilitate the production of reproducible documents.

Details

The resulteR package contains functions to extract information from the most common statistical analyses (regressions, Anova, t-tests, correlations, and Χ²-tests). Information extracted from tests and formatting applied follows the most common standards in scientific journals. Options to customize the output are also available.

The resulteR package is developed at GitHub (https://github.com/eduardohet/resulteR). GitHub provides up-to-date information and forums for bug reports.

To see the preferable citation of the package, type citation("resulteR").

Author(s)

The resulteR is developed by Eduardo L. Hettwer Giehl.

Examples

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# t-tests
res <- t.test(extra ~ group, data = sleep)
tText(res)
tText(res, dec=",")

# Regressions
utils::data(anorexia, package = "MASS")
anorex.1 <- lm(Postwt ~ Prewt, data = anorexia)
lmText(anorex.1)
lmText(anorex.1, type="coefs", which.coef="Prewt")

# Regression plots
plot(Postwt ~ Prewt, data = anorexia)
abline(anorex.1)
plotlmText(anorex.1, h=0.15, v=0.8, pos=4)

# Anova
anorex.1 <- aov(Postwt ~ Treat + Prewt, data = anorexia)
aovText(anorex.1, which.coef="Treat")
aovText(anorex.1, which.coef="Prewt")

# Correlations
res <- cor.test(~Postwt + Prewt, data=anorexia)
corText(res)
res <- cor.test(~Postwt + Prewt, data=anorexia, method="spearman")
corText(res)
res <- cor.test(~Postwt + Prewt, data=anorexia, method="kendall")
corText(res)

# Descriptive statistics
x <- rnorm(50, mean=10, sd=20)
meansdText(x)
meansdText(x, digits=c(3, 3))

# Neat lists 
# Hint: useful to grab names of significant parameters from a model result
x <- c("apples", "oranges", "grapes")
tidyList(x)
tidyList(c(2.3, 5.4, 3), dec=",", last="&")

eduardohet/resulteR documentation built on Dec. 14, 2017, 4:13 p.m.