Calculate summary statistics on a data frame

Functions from dplyr are used to automate the process of calculating basic summary statistics on a data frame. Returned statistics include mean, standard deviation, standard error, count, and 95 confidence intervals from a normal distribution (summary_stats) and from a t-distribution (summary_stats.t)

summary_stats(data, measure, type)

Arguments

data	a data frame
measure	a numeric variable. Response variable - summary statistics will be returned for this variable
type	a string variable. Controls whether a normal or t distribution is used for CI calculation. Defaults to "norm".

Examples

library(summariser)
library(dplyr)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union
iris %>%
  summary_stats(Sepal.Length)
#>       mean        sd   n         se        ci
#> 1 5.843333 0.8280661 150 0.06761132 0.1325157