checkGroups: Helper function to check groups in data.

In pcvr: Plant Phenotyping and Bayesian Statistics

Helper function to check groups in data.

Description

Helper function to check groups in data.

Usage

checkGroups(df, group)

Arguments

df	Data frame to use.
group	Set of variables to use in grouping observations. These taken together should identify a unique plant (or unique plant at a unique angle) across time.

Value

If there are duplicates in the grouping then this will return a message with code to start checking the duplicates in your data.

Examples

df <- growthSim("linear",
  n = 10, t = 10,
  params = list("A" = c(2, 1.5))
)
checkGroups(df, c("time", "id", "group"))
df$time[12] <- 3
checkGroups(df, c("time", "id", "group"))

pcvr documentation built on April 16, 2025, 5:12 p.m.