valid_followup {experDesign} | R Documentation |
Check the data for a follow up experiment.
Description
Sometimes some samples are collected and analyzed, later another batch of samples is analyzed. This function tries to detect if there are problems with the data or when the data is combined in a single analysis. To know specific problems with the data you need to use check_data()
Usage
valid_followup(
old_data = NULL,
new_data = NULL,
all_data = NULL,
omit = NULL,
column = "batch"
)
Arguments
old_data , new_data |
A data.frame with the old and new data respectively. |
all_data |
A |
omit |
Name of the columns of the |
column |
The name of the column where the old data has the batch
information, or whether the data is new or not ( |
Value
Called by its side effects of warnings, but returns a logical value
if there are some issues (FALSE
) or not (TRUE
)
See Also
Examples
data(survey, package = "MASS")
survey1 <- survey[1:118, ]
survey2 <- survey[119:nrow(survey), ]
valid_followup(survey1, survey2)
survey$batch <- NA
survey$batch[1:118] <- "old"
valid_followup(all_data = survey)
[Package experDesign version 0.4.0 Index]