wrapper - s and summary funs | R Documentation |
[summary function_*]
functions are simple wrappers of aggregate function
and the s
function. s
removes all non-values,
i.e. NA,Inf,NaN
from a vector.
However, if the length is 0 it returns NA. The result is then passed to the
corresponding aggregation function. For example,
min_(x)
is identical to min(s(x))
. Please read vignette("s")
for more information.
max_(.x, ignore_na = TRUE) min_(.x, ignore_na = TRUE) sum_(.x, ignore_na = TRUE) mean_(.x, ignore_na = TRUE) median_(.x, ignore_na = TRUE) sd_(.x, ignore_na = TRUE) var_(.x, ignore_na = TRUE) first_(.x, ignore_na = TRUE) last_(.x, ignore_na = TRUE) first_non_na(.x) squeeze(.x, ignore_na = FALSE) squeeze_(.x, ignore_na = TRUE)
.x |
a single vector |
ignore_na |
if false missing values are not omitted. |
'first_non_na' is a faster version of 'first' since it only search for a non NA value until it finds one. 'squeeze' on the other hand checks if all elements are equal and then returns only that value.
a single aggregated value
vignette("convert")
, vignette("hablar")
## sum_ on non-rational numeric vector vector <- c(7, NaN, -Inf, 4) sum_(vector) ## Min of vector with length 0 vector <- c() # With a wrapped s min_(vector) ## Max of vector with only NA # With a wrapped s max_(vector) ## Use of s when NA should not be removed vector <- c(7, Inf, NA, 4) # With a wrapped s sum_(vector, ignore_na = FALSE)
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