2013
DOI: 10.34068/joe.51.03.11
|View full text |Cite
|
Sign up to set email alerts
|

Using R-project for Free Statistical Analysis in Extension Research

Abstract: One option for Extension professionals wishing to use free statistical software is to use online calculators, which are useful for common, simple analyses. A second option is to use a free computing environment capable of performing statistical analyses, like R-project. R-project is free, cross-platform, powerful, and respected, but may be difficult for beginners to learn. Using a graphical user interface allows new users to perform common analyses using pull-down menus and dialog boxes without programming kno… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
29
0
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 42 publications
(48 citation statements)
references
References 0 publications
0
29
0
1
Order By: Relevance
“…and effect sizes reported for Fisher's exact tests are bias-corrected Cramer's V using the rcompanion package (Mangiafico, 2020). For η 2 , effect sizes of .01 to .06 are considered small, greater than .06 to .14 moderate, and greater than or equal to .14 large.…”
Section: Discussionmentioning
confidence: 99%
“…and effect sizes reported for Fisher's exact tests are bias-corrected Cramer's V using the rcompanion package (Mangiafico, 2020). For η 2 , effect sizes of .01 to .06 are considered small, greater than .06 to .14 moderate, and greater than or equal to .14 large.…”
Section: Discussionmentioning
confidence: 99%
“…We found the data to be left‐skewed and nontransformable and thus used the nonparametric Brown–Mood test to test for differences in median chemical richness among groups and post hoc pairwise comparisons (controlling for the false discovery rate; Benjamini and Hochberg, 1995). These tests were conducted using the R packages coin (Hothorn et al, 2008) and rcompanion (Mangiafico, 2022). To compare the variance of chemical richness, we used Levene's test in the R package car (Fox and Weisberg, 2019; R Core Team, 2022).…”
Section: Methodsmentioning
confidence: 99%
“…(Wheeler and Torchiano, 2016). These were followed by post hoc pairwise permutation tests controlling for false discovery rate (Benjamini and Hochberg, 1995) using the pairwisePermutationMatrix function in the R package rcompanion (Mangiafico, 2022).…”
Section: Methodsmentioning
confidence: 99%
“…The relationship between the relative grain yield and the commonly used diagnostics tools (Mehlich-3 soil S, leaf S, and grain S) was established to determine the ability of each diagnostic tool in predicting grain yield response. In addition, a Cate-Nelson analysis (Cate & Nelson, 1971) was conducted in R Software using the package Rcompanion (Mangiafico, 2013), to determine a critical level of Mehlich-3 soil S and leaf S at which a 95% relative yield response was most likely to occur.…”
Section: Statistical Analysesmentioning
confidence: 99%