apa.r.compare.across.samples {apaText} | R Documentation |
Report difference between correlations in markdown APA style from different samples
Description
Report difference between correlations in markdown APA style from different samples
Usage
apa.r.compare.across.samples(
formula,
data1,
data2,
alternative = "two.sided",
show.conf.interval = NULL,
show.N = NULL,
show.p = NULL,
show.statistic = NULL
)
Arguments
formula |
Formula for comparing correlations |
data1 |
Project data frame 1 name |
data2 |
Project data frame 2 name |
alternative |
Alternative hypothesis to pass to alternative argument of cocor.indep.groups. Default is "two.sided" |
show.conf.interval |
Show confidence interval or not (TRUE/FALSE). Default behavior is TRUE. |
show.N |
Show sample size or not (TRUE/FALSE). Default behavior is TRUE. |
show.p |
Show p-value or not (TRUE/FALSE). Default behavior is TRUE. |
show.statistic |
Show test statistic or not (TRUE/FALSE). Default behavior is TRUE. |
Value
R Markdown text
Examples
# Test difference between r(rating, learning) from dataset: attitude
# and r(weight, height) from dataset: women
apa.r.compare.across.samples(formula = ~ rating + learning | height + weight,
data1 = attitude,
data2 = women)
[Package apaText version 0.1.7 Index]