Data input

Add a first section called Data input, in which you will load the rWSBIM1207 package, use the interroA.csv() function to get the name of a csv file containing test results for a set of students, and read these data into R using read_csv. Display the few first observations and write a short sentence explaining the data.

## install.packages("BiocManager")
## install.packages("remotes")
## BiocManager::install("UCLouvain-CBIO/rWSBIM1207")
library(rWSBIM1207)
## 
## This is 'rWSBIM1207' version 0.1.9
interroA.csv()
## [1] "/usr/local/lib/R/site-library/rWSBIM1207/extdata/interroA.csv"
library("tidyverse")
## ── Attaching packages ─────────── tidyverse 1.3.0 ──
## ✓ ggplot2 3.3.0     ✓ purrr   0.3.3
## ✓ tibble  2.1.3     ✓ dplyr   0.8.5
## ✓ tidyr   1.0.2     ✓ stringr 1.4.0
## ✓ readr   1.3.1     ✓ forcats 0.5.0
## ── Conflicts ────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
x <- read_csv(interroA.csv())
## Parsed with column specification:
## cols(
##   id = col_character(),
##   height = col_double(),
##   gender = col_character(),
##   X = col_double(),
##   interro1 = col_double(),
##   interro2 = col_double(),
##   interro3 = col_double(),
##   interro4 = col_double()
## )

ou

x <- interroA.csv() %>% 
  read_csv()
## Parsed with column specification:
## cols(
##   id = col_character(),
##   height = col_double(),
##   gender = col_character(),
##   X = col_double(),
##   interro1 = col_double(),
##   interro2 = col_double(),
##   interro3 = col_double(),
##   interro4 = col_double()
## )

Affichage

x
## # A tibble: 100 x 8
##    id     height gender      X interro1 interro2 interro3 interro4
##    <chr>   <dbl> <chr>   <dbl>    <dbl>    <dbl>    <dbl>    <dbl>
##  1 A74890    168 M       1.43        16       18        7       10
##  2 A85494    167 M       1.05        15       18       13       NA
##  3 A51820    166 M       0.435        4       10       NA        7
##  4 A98669    164 M       0.715       15       15       18       13
##  5 A75521    171 M       0.917       18       10       17       NA
##  6 A96704    178 F      -2.66        11       20       14       17
##  7 A23214    155 M       1.11        12        2        8       14
##  8 A31124    177 M      -0.485       19        4        8       20
##  9 A80471    187 F       0.231       19       16       16        8
## 10 A21783    195 F      -0.295       13       11        8       20
## # … with 90 more rows