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Helper function to check groups in data.
checkGroups(df, group)
If there are duplicates in the grouping then this will return a message with code to start checking the duplicates in your data.
Data frame to use.
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.
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"))
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