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Data input

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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.

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## install.packages("BiocManager")
-## install.packages("remotes")
-## BiocManager::install("UCLouvain-CBIO/rWSBIM1207")
-library(rWSBIM1207)
-
## 
-## This is 'rWSBIM1207' version 0.1.9
-
interroA.csv()
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## [1] "/usr/local/lib/R/site-library/rWSBIM1207/extdata/interroA.csv"
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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
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