The coefficient of variation (CV) is the ratio of the standard deviation to the mean of a sample. This function takes a vector of data and calculates the CV.

cv(x)

Arguments

x

a vector

Value

The calculated CV

Examples

set.seed(15) # make this example reproducible x <- rnorm(100, mean = 100, sd = 5) cv(x)
#> [1] 0.04944505
## [1] 0.04944505 # the cv function can also be used within a call to dplyr::summarise library(dplyr) carbon.fabric %>% filter(test == "WT") %>% group_by(condition) %>% summarise(mean = mean(strength), cv = cv(strength))
#> `summarise()` ungrouping output (override with `.groups` argument)
#> # A tibble: 3 x 3 #> condition mean cv #> <chr> <dbl> <dbl> #> 1 CTD 137. 0.0417 #> 2 ETW 135. 0.0310 #> 3 RTD 142. 0.0451
## # A tibble: 3 x 3 ## condition mean cv ## <chr> <dbl> <dbl> ## 1 CTD 137. 0.0417 ## 2 ETW 135. 0.0310 ## 3 RTD 142. 0.0451