Calculate sample sizes — sample

Specify which columns to use to produce a table with sample sizes. Helpful to visualize number of samples in your data.

Usage

sample_size(data, dim_1, dim_2, count)

Arguments

data: The data frame you want to calculate sample sizes for.
dim_1: The first dimension to calculate sample sizes for. This will be the resulting row names. This must be the column name within data.
dim_2: The second dimension to calculate sample sizes for. This will be the resulting column names. This must be the column name within data.
count: The column name within data that you wish to count the length of in order to calculate the sample sizes.

Value

A data frame of sample sizes.

Examples

Year <- c("2000", "2000", "2000", "2000", "2000", "2001", "2001", "2001", "2001",
"2002", "2002", "2002", "2002", "2003", "2003", "2003", "2003", "2003", "2003")
Site <- c("site1", "site1", "site2", "site2", "site2","site1", "site1", "site2",
          "site2", "site1", "site1", "site2", "site2","site1", "site1", "site2",
          "site2", "site2", "site2")
Quadrat <- c("Q1", "Q2", "Q3", "Q4", "Q5", "Q6", "Q7", "Q8", "Q9", "Q10", "Q11",
             "Q12", "Q13", "Q14", "Q15", "Q16", "Q17", "Q18", "Q19")
Cover <- sample(x = seq(from = 0, to = 1, by = 0.01), 19, replace = TRUE)
coral_cover <- data.frame(Year, Site, Quadrat, Cover)

sample_size(coral_cover, dim_1 = "Site", dim_2 = "Year", count = "Quadrat")
#>       2000 2001 2002 2003
#> site1    2    2    2    2
#> site2    3    2    2    4