check_data: Check experiment data

In llrs/experDesign: Design Experiments for Batches

Check experiment data

Description

In order to run a successful experiment a good design is needed even before measuring the data. This functions checks several heuristics for a good experiment and warns if they are not found.

Usage

check_data(pheno, omit = NULL, na.omit = FALSE)

Arguments

pheno	Data.frame with the variables of each sample, one row one sample.
omit	Character vector with the names of the columns to omit.
na.omit	Check the effects of missing values too.

Value

A logical value indicating if everything is alright (TRUE or not (FALSE).

See Also

valid_followup().

Examples

rdata <- expand.grid(sex = c("M", "F"), class = c("lower", "median", "high"))
rdata2 <- rbind(rdata, rdata)
check_data(rdata2)

#Different warnings
check_data(rdata)
check_data(rdata[-c(1, 3), ])
data(survey, package = "MASS")
check_data(survey)

llrs/experDesign documentation built on Dec. 24, 2024, 8:22 a.m.