roperators (version 1.3.14)

complete_cases: Statistics/Summaries with (Only) Missing Data Removed

Description

Univariate and bivariate summaries and statistics with the least missing data removed (such as complete-cases correlations). These are typically default arguments to standard statistics functions.

Usage

length_cc(x, ...)
n_unique_cc(x, ...)
min_cc(x, ...)
max_cc(x, ...)
range_cc(x, ...)
all_cc(x, ...)
any_cc(x, ...)
sum_cc(x, ...)
prod_cc(x, ...)
mean_cc(x, ...)
median_cc(x, ...)
var_cc(x, y = NULL, ...)
cov_cc(x, y = NULL, ...)
cor_cc(x, y = NULL, ...)
sd_cc(x, ...)
weighted.mean_cc(x, w, ...)
quantile_cc(x, ...)
IQR_cc(x, ...)
mad_cc(x, ...)
rowSums_cc(x, ...)
colSums_cc(x, ...)
rowMeans_cc(x, ..., rescale = FALSE)
colMeans_cc(x, ..., rescale = FALSE)

Arguments

x

An R object. Currently there are methods for numeric/logical vectors and date, date-time and time interval objects. Complex vectors are allowed for trim = 0, only.

...

arguments to pass to wrapped functions

y

NULL (default) or a vector, matrix or data frame with compatible dimensions to x. The default is equivalent to y = x (but more efficient).

w

a numerical vector of weights the same length as x giving the weights to use for elements of x.

rescale

whether to rescale the matrix/df/vector before calculating summaries

Examples

n_o <- 20
n_m <- round(n_o / 3)
x   <- rnorm(n_o)
y   <- rnorm(n_o)

x[sample(n_o, n_m)] <- NA
y[sample(n_o, n_m)] <- NA

mean_cc(x)   # mean of complete cases
mean_cc(y)
var_cc(x)    # variance of complete cases
var_cc(y)
cor_cc(x, y) # correlation between available cases