======= ## 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.
You can install the development version of scidesignR from GitHub with:
# install.packages("devtools")
devtools::install_github("scidesign/scidesignR")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