| cells {validate} | R Documentation |
Cell counts and differences for a series of datasets
cells(..., .list = NULL, compare = c("to_first", "sequential"))
... |
A (named) sequence of R objects carrying data (e.g. |
.list |
A list of R objects carrying data; will be concatenated with objects in |
compare |
How to compare the datasets. |
An object of class cellComparison, which is really an array
with a few attributes. It counts the total number of cells, the number of
missings, the number of altered values and changes therein as compared to
the reference defined in how.
This function assumes that the datasets have the same dimensions and that both rows and columns are ordered similarly.
data(retailers) # start with raw data step0 <- retailers # impute turnovers step1 <- step0 step1$turnover[is.na(step1$turnover)] <- mean(step1$turnover,na.rm=TRUE) # flip sign of negative revenues step2 <- step1 step2$other.rev <- abs(step2$other.rev) # create an overview of differences compared to raw data cells(raw = step0, imputed = step1, flipped = step2) # create an overview of differences, comparing to the previous step cells(raw = step0, imputed = step1, flipped = step2, compare="sequential")