R: Count row or column indices

row_count {sjmisc} | R Documentation

## Count row or column indices

### Description

`row_count()` mimics base R's `rowSums()`, with sums for a specific value indicated by `count`. Hence, it is equivalent to `rowSums(x == count, na.rm = TRUE)`. However, this function is designed to work nicely within a pipe-workflow and allows select-helpers for selecting variables and the return value is always a data frame (with one variable).
`col_count()` does the same for columns. The return value is a data frame with one row (the column counts) and the same number of columns as `x`.

### Usage

    row_count(x, ..., count, var = "rowcount", append = TRUE)

    col_count(x, ..., count, var = "colcount", append = TRUE)

### Arguments

`x` | A vector or data frame.
`...` | Optional, unquoted names of variables that should be selected for further processing. Required, if `x` is a data frame (and no vector) and only selected variables from `x` should be processed. You may also use functions like `:` or tidyselect's `select_helpers`. See 'Examples' or package-vignette.
`count` | The value for which the row or column sum should be computed. May be a numeric value, a character string (for factors or character vectors), `NA`, `Inf` or `NULL` to count missing or infinite values, or null-values.
`var` | Name of new the variable with the row or column counts.
`append` | Logical, if `TRUE` (the default) and `x` is a data frame, `x` including the new variables as additional columns is returned; if `FALSE`, only the new variables are returned.

### Value

For `row_count()`, a data frame with one variable: the sum of `count` appearing in each row of `x`; for `col_count()`, a data frame with one row and the same number of variables as in `x`: each variable holds the sum of `count` appearing in each variable of `x`. If `append = TRUE`, `x` including this variable will be returned.

### Examples

    dat <- data.frame(
      c1 = c(1, 2, 3, 1, 3, NA),
      c2 = c(3, 2, 1, 2, NA, 3),
      c3 = c(1, 1, 2, 1, 3, NA),
      c4 = c(1, 1, 3, 2, 1, 2)
    )

    row_count(dat, count = 1, append = FALSE)
    row_count(dat, count = NA, append = FALSE)
    row_count(dat, c1:c3, count = 2, append = TRUE)

    col_count(dat, count = 1, append = FALSE)
    col_count(dat, count = NA, append = FALSE)
    col_count(dat, c1:c3, count = 2, append = TRUE)

[Package sjmisc version 2.7.5 Index]