Calculate geometric coefficient of variation, mean, or SD and round

Calculate the coefficient of variation

Calculate the geometric mean

Calculate the geometric standard deviation

Usage

geo.cv(num, round = 2, na.rm = TRUE, neg.rm = TRUE, pct = TRUE)

geo.mean(num, round = 2, na.rm = TRUE, neg.rm = TRUE)

geo.sd(num, round = 2, na.rm = TRUE, neg.rm = TRUE)

Arguments

num

vector of numbers

round

round result to decimal place

na.rm

remove NAs from the vector

neg.rm

remove negative values from the vector

pct

TRUE or FALSE. should result be in percent

Value

the geometric cv of a set of numbers

the geometric mean of a set of numbers

the geometric standard deviation of a set of numbers

Examples

#simulate numbers using a fixed seed
num1 <- number(n = 1115,max.digits = 4, seed = 10)

#get geometric CV, represent as percent and round to 2 decimal places
geo.cv(num1,round = 2) # result: 60.61%
#> [1] 60.61

#or round to 3 decimal places
geo.cv(num1,round = 3) # result: 60.609%
#> [1] 60.609

#by default, the above examples return a CV%
#if you do not want the result as percentage, specify "pct"
geo.cv(num1,pct = FALSE) # result: 0.61
#> [1] 0.61

num1 <- sample(300:3000,10)

#get the geometric mean, excluding all negatives and round to 2
geo.mean(num1)
#> [1] 1619.56

#or
geo.mean(num1)
#> [1] 1619.56


#get geometric mean, but round the final value to 5 decimal places
geo.mean(num1, round = 5)
#> [1] 1619.555

num1 <- sample(330:400,20)

#get geometric SD remove negative values and round to 2 decimal places
geo.sd(num1)
#> [1] 1.05

#get geometric SD, DON'T remove negative values and round to 2 decimal places
geo.sd(num1,na.rm=FALSE)
#> [1] 1.05

#get geometric SD, remove negative values and round to 3 decimal places
geo.sd(num1,round = 3)
#> [1] 1.049