R: Calculate simple statistics of column

colsum {LaF} | R Documentation

## Calculate simple statistics of column

### Description

Methods for calculating simple statistics of columns of a file: mean, sum, standard deviation, range (min and max), and number of missing values.

### Usage

    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, ...)

### Arguments

`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.

[Package LaF version 0.8.4 Index]