Methods for calculating simple statistics of columns of a file: mean, sum, standard deviation, range (min and max), and number of missing values.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | colsum(x, ...)
## S4 method for signature 'laf'
colsum(x, columns, na.rm = TRUE, ...)
## S4 method for signature 'laf_column'
colsum(x, na.rm = TRUE, ...)
colmean(x, ...)
## S4 method for signature 'laf'
colmean(x, columns, na.rm = TRUE, ...)
## S4 method for signature 'laf_column'
colmean(x, na.rm = TRUE, ...)
colfreq(x, ...)
## S4 method for signature 'laf'
colfreq(x, columns, useNA = c("ifany", "always", "no"), ...)
## S4 method for signature 'laf_column'
colfreq(x, na.rm = TRUE, ...)
colrange(x, ...)
## S4 method for signature 'laf'
colrange(x, columns, na.rm = TRUE, ...)
## S4 method for signature 'laf_column'
colrange(x, na.rm = TRUE, ...)
colnmissing(x, ...)
## S4 method for signature 'laf'
colnmissing(x, columns, na.rm = TRUE, ...)
## S4 method for signature 'laf_column'
colnmissing(x, na.rm = TRUE, ...)
|
x |
an object of type laf or laf_column. |
... |
Currently ignored. |
columns |
a numeric vector with the columns for which the statistics should be calculated. |
na.rm |
whether or not to ignore missing values. By default missing values are ignored. |
useNA |
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. |
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