Description Usage Arguments Details Value Examples

`row_sums()`

simply wraps `rowSums`

, while
`row_means()`

simply wraps `mean_n`

,
however, the argument-structure of both functions is designed
to work nicely within a pipe-workflow and allows select-helpers
for selecting variables, the default for `na.rm`

is `TRUE`

,
and the return value is always a tibble (with one variable).

1 2 3 |

`x` |
A vector or data frame. |

`...` |
Optional, unquoted names of variables that should be selected for
further processing. Required, if |

`na.rm` |
Logical, |

`var` |
Name of new the variable with the row sums or means. |

`append` |
Logical, if |

`n` |
May either be a numeric value that indicates the amount of valid values per row to calculate the row mean; or a value between 0 and 1, indicating a proportion of valid values per row to calculate the row mean (see 'Details').
If a row's sum of valid values is less than |

For `n`

, must be a numeric value from `0`

to `ncol(x)`

. If
a *row* in `x`

has at least `n`

non-missing values, the
row mean is returned. If `n`

is a non-integer value from 0 to 1,
`n`

is considered to indicate the proportion of necessary non-missing
values per row. E.g., if `n = .75`

, a row must have at least `ncol(x) * n`

non-missing values for the row mean to be calculated. See 'Examples'.

For `row_sums()`

, a tibble with a new variable: the row sums from
`x`

; for `row_means()`

, a tibble with a new variable: the row
means from `x`

. If `append = FALSE`

, only the new variable
with row sums resp. row means is returned.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ```
data(efc)
efc %>% row_sums(c82cop1:c90cop9, append = FALSE)
library(dplyr)
row_sums(efc, contains("cop"), append = FALSE)
dat <- data.frame(
c1 = c(1,2,NA,4),
c2 = c(NA,2,NA,5),
c3 = c(NA,4,NA,NA),
c4 = c(2,3,7,8),
c5 = c(1,7,5,3)
)
dat
row_means(dat, n = 4)
row_means(dat, c1:c4, n = 4)
# at least 40% non-missing
row_means(dat, c1:c4, n = .4)
# create sum-score of COPE-Index, and append to data
efc %>%
select(c82cop1:c90cop9) %>%
row_sums()
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.