README.md

In scidesignR: Data Sets from Design and Analysis of Experiments and Observational Studies using R

scidesignR

=======

An R package to accompany Taback, N. (2022). Design and Analysis of Experiments and Observational Studies using R. Chapman & Hall

The goal of scidesignR is to be able to reproduce the analyses and answer questions in Taback (2022). Design and Analysis of Experiments and Observational Studies using R.

Installation

You can install the development version of scidesignR from GitHub with:

# install.packages("devtools")
devtools::install_github("scidesign/scidesignR")

Example

Compute the row and column means from Bliss and Rose data in section 5.11.1

library(scidesignR)
library(tidyverse)
#> ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
#> ✓ ggplot2 3.3.5     ✓ purrr   0.3.4
#> ✓ tibble  3.1.6     ✓ dplyr   1.0.8
#> ✓ tidyr   1.2.0     ✓ stringr 1.4.0
#> ✓ readr   2.1.2     ✓ forcats 0.5.1
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> x dplyr::filter() masks stats::filter()
#> x dplyr::lag()    masks stats::lag()
BR_LatSq %>%
  group_by(Weeks) %>%
  summarise(Weeks_Ave = mean(value))
#> # A tibble: 4 × 2
#>   Weeks Weeks_Ave
#>   <dbl>     <dbl>
#> 1     1      14.8
#> 2     2      15.3
#> 3     3      14.9
#> 4     4      15.1

scidesignR documentation built on April 27, 2022, 9:06 a.m.