View source: R/NewStats_contrasts.R
| NewStats_contrasts | R Documentation |
It plots all the samples with their confidence intervals (CI), and in addition it plots the contrasts between the selected samples.
NewStats_contrasts(
dat,
g1,
g2,
conf.level = 0.95,
col.g1 = "blue",
col.g2 = "green3",
col.diff = "red",
ylab = "Values",
ylab.diff = "Difference",
B.labels = c("G1", "G2", "Difference")
)
dat |
Data frame of the samples with mean, standard deviation, sample size, and sample id |
g1 |
Samples for group 1 |
g2 |
Samples for group 2 |
conf.level |
Confidence level for the interval (Default is 0.95) |
col.g1 |
Color to use for group 1 |
col.g2 |
Color to use for group 2 |
col.diff |
Color to use for the difference |
ylab |
Label for the y-axis |
ylab.diff |
Label for the secondary y-axis for the difference |
B.labels |
Labels to use for plot B of the difference between groups |
A ggplot object
Cumming, G. & Calin-Jageman, R.J. (2017). Introduction to the New Statistics: Estimation, Open Science, and Beyond. New York: Routledge.
dat = data.frame(mean = c(37.5,31.9,41.2,33.4,29.9,38.2),
sd = c(10,13.5,14.8,10,8.7,10),
n = c(19,19,19,19,19,19),
grp = c('NF10','AF10','AD10','NF17','AF17','AD17'))
NewStats_contrasts(dat, g1 = c('AD10', 'AD17'), g2 = c('AF10', 'AF17'))
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