SummaryStatstics

SummaryStatstics is a package made by Kiera Lee for STAT545B at The University of British Columbia. SummaryStatstics was made with the devtools package.

The goal of SummaryStatstics is to help the user efficiently create summary statistics for the data they are analyzing. With the use of SummaryStastics, the user can use the provided functions to get necessary data.

This package contains the following functions

1. summary_statistics()
   A functions that produces a tibble with the summary statistics columns mean, median, maximum value, minimum value, and standard deviation of a numerical variable, based on a grouping, both contained within a dataframe.

Please see ?summary_statsitics for a more detailed explanation of the function.

Installation

You can install the most up-to-date released version of SummaryStatstics from Github with:

devtools::install_github("stat545ubc-2021/FunctionsKieraLee")

Following installation, this package should be loaded into R or Rstudio with:

library(SummaryStatstics)

Example

This is a basic example which shows you how to solve a common problem, using a simple dataframe, fruit:

suppressMessages(library(SummaryStatstics))
#if this is a very basic data set that you are working with 
fruit <- data.frame(fruit_type = c("apple","apple","apple", "orange", "orange","orange","plum","plum","plum"),
                      number = c(10,7,45,3,45,67,89,0,12))

#using the function summary_statistics()
summary_statistics(fruit, number, fruit_type)

## # A tibble: 3 × 6
##   fruit_type  mean median standard_deviation   max   min
##   <chr>      <dbl>  <dbl>              <dbl> <dbl> <dbl>
## 1 apple       20.7     10               21.1    45     7
## 2 orange      38.3     45               32.5    67     3
## 3 plum        33.7     12               48.3    89     0