Some Summary Statistics

summary calculates the five number summary, mean, and standard deviation of the quantitative variable x. An optional second, categorical variable can be specified and values will be calculated separately for each group. The number of digits in output can also be specified. Skewness is sample skewness: \(g_1 := \frac{m_3}{m_2^{3/2}}\), where \(m_2 := \frac{1}{n}\sum_{i=1}^{n}(x_i - \bar{x})^2\) and \(m_3 := \frac{1}{n}\sum_{i=1}^{n}(x_i - \bar{x})^3\) are the second and third central sample moments.

Usage

iscamsummary(x, explanatory = NULL, digits = 3)

Arguments

x

data to summarize.

explanatory

optional explanatory variable to group by.

digits

number of digits to round to.

Value

A table with some summary statistics of x.

Examples

set.seed(0)
fake_data <- rnorm(30) # simulating some data
groups <- sample(c("group1","group2"), 30, TRUE)
iscamsummary(fake_data)
#>   Missing  n   Min     Q1 Median    Q3   Max  Mean    SD Skewness
#> 1       0 30 -1.54 -0.621 -0.031 0.487 2.405 0.022 0.914    0.441
iscamsummary(fake_data, explanatory = groups, digits = 2) # with groups
#>        Missing  n   Min    Q1 Median   Q3  Max  Mean   SD Skewness
#> group1       0 13 -1.24 -0.33  -0.06 0.44 1.26 -0.02 0.65     0.21
#> group2       0 17 -1.54 -0.89   0.13 0.76 2.40  0.05 1.09     0.38