summary.rmfanova: Print "rmfanova" object

In rmfanova: Repeated Measures Functional Analysis of Variance

Print "rmfanova" object

Description

Prints the summary of the repeated measures functional analysis of variance.

Usage

## S3 method for class 'rmfanova'
summary(object, ...)

Arguments

object	a "rmfanova" object.
...	integer indicating the number of decimal places to be used to present the numerical results. It can be named digits as in the round() function (see examples).

Details

The function prints out the information about the number of samples \ell, number of observations n, number of design time points p, adjustment method for pairwise comparison tests (if \ell>2), test statistics, and p-values of tests performed by the rmfanova() function.

Value

No return value, called for side effects.

Examples

# Some of the examples may run some time.
# preparation of the DTI data set, for details see Kurylo and Smaga (2023)
library(refund)
data(DTI)
# MS patients
DTI_ms <- DTI[DTI$case == 1, ]
miss_data <- c()
for (i in 1:340) if (any(is.na(DTI_ms$cca[i, ]))) miss_data <- c(miss_data, i)
DTI_ms <- DTI_ms[-miss_data, ]
DTI_ms_2 <- DTI_ms[DTI_ms$Nscans == 4, ]
xx <- vector("list", 4)
for (i in 1:4) {
  xx[[i]] <- DTI_ms_2$cca[DTI_ms_2$visit == i, ]
}
xx[[1]] <- xx[[1]][-14, ]
xx[[3]] <- xx[[3]][-14, ]
yy <- xx
for (i in seq_len(4)) yy[[i]] <- yy[[i]][1:17, ]

# testing without parallel computing and multiple generation of Gaussian processes
res <- rmfanova(yy)
summary(res, digits = 3)

rmfanova documentation built on July 10, 2023, 2:03 a.m.