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Use standard deviations, variances, or coefficients of variation to summarise the distribution of random draws in an rvec.
draws_sd(x, na_rm = FALSE)# S3 method for rvec_chr draws_sd(x, na_rm = FALSE)# S3 method for rvec draws_sd(x, na_rm = FALSE)draws_var(x, na_rm = FALSE)# S3 method for rvec_chr draws_var(x, na_rm = FALSE)# S3 method for rvec draws_var(x, na_rm = FALSE)draws_cv(x, na_rm = FALSE)# S3 method for rvec_chr draws_cv(x, na_rm = FALSE)# S3 method for rvec draws_cv(x, na_rm = FALSE)
# S3 method for rvec_chr draws_sd(x, na_rm = FALSE)
# S3 method for rvec draws_sd(x, na_rm = FALSE)
draws_var(x, na_rm = FALSE)
# S3 method for rvec_chr draws_var(x, na_rm = FALSE)
# S3 method for rvec draws_var(x, na_rm = FALSE)
draws_cv(x, na_rm = FALSE)
# S3 method for rvec_chr draws_cv(x, na_rm = FALSE)
# S3 method for rvec draws_cv(x, na_rm = FALSE)
A vector.
An object of class rvec.
Whether to remove NAs before calculating summaries. Default is FALSE.
FALSE
The coefficient of variation is the standard deviation divided by the mean.
Apply pre-specified functions across draws:
draws_all()
draws_any()
draws_mean()
draws_median()
draws_mode()
draws_min()
draws_max()
draws_ci()
draws_quantile()
Apply arbitrary function across draws:
draws_fun()
m <- rbind(a = c(1, 1, 1, 2, 3), b = c(2, 4, 0, 2, 3), c = c(0, 0, 1, 0, 100)) x <- rvec(m) x draws_sd(x) draws_var(x) draws_cv(x)
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