| Type: | Package |
| Title: | Paired/Unpaired Parametric/Non-Parametric Group Comparisons |
| Version: | 0.1.0 |
| Author: | Aaron England <aaron.england24@gmail.com> |
| Maintainer: | Aaron England <aaron.england24@gmail.com> |
| Description: | Receives two vectors, computes appropriate function for group comparison (i.e., t-test, Mann-Whitney; equality of variances), and reports the findings (mean/median, standard deviation, test statistic, p-value, effect size) in APA format (Fay, M.P., & Proschan, M.A. (2010)<doi:10.1214/09-SS051>). |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 6.1.0 |
| Depends: | car |
| NeedsCompilation: | no |
| Packaged: | 2018-10-16 20:14:05 UTC; aengland |
| Repository: | CRAN |
| Date/Publication: | 2018-10-24 23:00:06 UTC |
Paired Parametric/Non-Parametric Group Comparisons
Description
Receives two vectors, computes appropriate function for paired group comparison (t-test, Mann-Whitney), and reports the findings (mean/median, standard deviation, test statistic, p-value, effect size) in APA format (Field, A. (2013). Discovering statistics using IBM SPSS statistics. New York, NY: SAGE.).
Usage
Group_Comparison_Paired(vec1, vec2)
Arguments
vec1 |
A vector of numbers |
vec2 |
A vector of numbers |
Value
This function returns a sentence summarizing the findings and reporting them in APA format (effect size included)
Examples
dt <- mtcars
vector1 <- dt$mpg
vector2 <- dt$hp
Group_Test <- Group_Comparison_Paired(vector1, vector2)
Group_Test
Unpaired Parametric/Non-Parametric Group Comparisons
Description
Receives two vectors, computes best function for unpaired group comparison (t-test, Mann-Whitney), and reports the findings (mean/median, standard deviation, test statistic, p-value, effect size) in APA format (Field, A. (2013). Discovering statistics using IBM SPSS statistics. New York, NY: SAGE.).
Usage
Group_Comparison_Unpaired(vec1, vec2)
Arguments
vec1 |
A vector of numbers |
vec2 |
A vector of numbers |
Value
This function returns a sentence summarizing the findings and reporting them in APA format (effect size included)
Examples
dt <- mtcars
vector1 <- dt$mpg
vector2 <- dt$hp
Group_Test <- Group_Comparison_Unpaired(vector1, vector2)
Group_Test