The goal of summaryandboxplot is to summarize a numeric vector with summary stats (number of elements, number of unique elements, min, 1st quartile, median, mean, 3rd quartile, max, and number of NAs) and provide a box-and-jitter plot to produce a visual respresentation of the numeric vector (NOTE: the jitters in the box-and-jitter plot are stochastic and can appear in different positions between runs).
You can install the development version of summaryandboxplot like so:
# install.packages("devtools")
devtools::install_github("stat545ubc-2022/assignment-b1-and-b2-jowong4", ref = "0.1.0")This is a basic example which shows you how to use summary_and_boxplot to summarize a numeric vector:
library(summaryandboxplot)
summary_and_boxplot(1:10)
#> There are 0 NA entries in your numeric vector input.
#> There are 10 entries in your numeric vector input.
#> There are 10 unique entries in your numeric vector input.
#> Min: 1
#> 1st quartile: 3.25
#> Median: 5.5
#> Mean: 5.5
#> 3rd quartile: 7.75
#> Max: 10
#> [1] 10.00 10.00 1.00 3.25 5.50 5.50 7.75 10.00 0.00
summary_and_boxplot(c(1, 2, 3, 4, 5))
#> There are 0 NA entries in your numeric vector input.
#> There are 5 entries in your numeric vector input.
#> There are 5 unique entries in your numeric vector input.
#> Min: 1
#> 1st quartile: 2
#> Median: 3
#> Mean: 3
#> 3rd quartile: 4
#> Max: 5
#> [1] 5 5 1 2 3 3 4 5 0