Methods for calculating simple statistics of columns of a file: mean, sum, standard deviation, range (min and max), and number of missing values.
colsum(x, ...)# S4 method for laf
colsum(x, columns, na.rm = TRUE, ...)
# S4 method for laf_column
colsum(x, na.rm = TRUE, ...)
colmean(x, ...)
# S4 method for laf
colmean(x, columns, na.rm = TRUE, ...)
# S4 method for laf_column
colmean(x, na.rm = TRUE, ...)
colfreq(x, ...)
# S4 method for laf
colfreq(x, columns, useNA = c("ifany", "always", "no"), ...)
# S4 method for laf_column
colfreq(x, na.rm = TRUE, ...)
colrange(x, ...)
# S4 method for laf
colrange(x, columns, na.rm = TRUE, ...)
# S4 method for laf_column
colrange(x, na.rm = TRUE, ...)
colnmissing(x, ...)
# S4 method for laf
colnmissing(x, columns, na.rm = TRUE, ...)
# S4 method for laf_column
colnmissing(x, na.rm = TRUE, ...)
an object of type laf or laf_column.
Currently ignored.
a numeric vector with the columns for which the statistics should be calculated.
whether or not to ignore missing values. By default missing values are ignored.
method with which to treat missing values: "ifany" adds a field containing the number of missing values if there are any; "always" will always add a field with the number of missing values even when there are none; "none" will never add a field containing the number of missing values.