check.nodup | R Documentation |
Function that checks if a variable has no duplicated values for each subject.
check.nodup(x, id, data, out=1, na.rm=TRUE)
x |
argument to specify the variable to check. |
id |
argument to specify a subject id variable. |
data |
optional data frame that contains the variables specified above. |
out |
either a string or an integer ( |
na.rm |
logical indicating whether missing values should be removed before checking (default is |
The function checks if a variable has no duplicated values for each subject.
When na.rm=TRUE
(the default), missing values are ignored. When setting na.rm=FALSE
, then missing values are treated as distinct values from any non-missing values. See ‘Examples’.
When out = 1
or out = "logical"
, the function simply returns a logical (i.e., TRUE
or FALSE
), depending on whether the variable has no duplicated values within each subject.
When out = 2
or out = "id"
, the function returns a vector with the ids of those subjects where the variable has duplicated values.
When out = 3
or out = "data"
, the function returns the data for those subjects where the variable has duplicated values.
Wolfgang Viechtbauer wvb@wvbauer.com
# illustrative dataset
dat <- data.frame(subj=rep(1:4, each=5),
obs = 1:5,
age = rep(c(20,31,27,22), each=5),
stress = c(2,3,1,4,2, 3,3,3,3,3, 1,1,2,6,4, 1,2,1,3,1))
dat
# check that variable obs has no duplicated values within subjects
check.nodup(obs, subj, data=dat)
# introduce a duplicated value for the third subject
dat$obs[13] <- 2
# check that variable obs has no duplicated values within subjects
check.nodup(obs, subj, data=dat)
# for which subjects are there duplicated values?
check.nodup(obs, subj, data=dat, out=2)
# show the data for those subjects
check.nodup(obs, subj, data=dat, out=3)
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