summaryrshp: Summarizing reshaped data

In multifluo: Dealing with Several Images of a Same Object Constituted of Different Zones

Description

Gives natural statistics (number of observations, average, standard deviations) for each variable and each zones. ANOVA of the model "variable~zone" is run, and difference tests are computed to find groups.

Usage

summaryrshp(rshp, test = "hsd", p.adj = "none", alpha = 0.05)

Arguments

rshp	data resulting from reshapimg
test	"lsd" (corresponding to Least Significant Difference) or "hsd" (corresponding to the Tukey Test)
p.adj	LSD.test parameter to adjust the p-value for the multiple comparison
alpha	Threshold of significance for determining the gorups

Value

Returns a list containing, for each variable: the results of the ANOVA; the summary of the variable; and the usual statistics by zones (n,average, sd,group)

See Also

reshapimg

Examples

data(df.scaled)
summaryrshp(df.scaled)

multifluo documentation built on May 2, 2019, 1:07 p.m.