Notebook FKA 1

library(tidyverse)

Polices dans markdown

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This is an R Markdown Notebook. When you execute code within the notebook, the results appear beneath the code.

Try executing this chunk by clicking the Run button within the chunk or by placing your cursor inside it and pressing Ctrl+Shift+Enter.

Ce que vous voyez dans le bandeau grisé s’appelle un Chunk. Dans cet espace que nous allons écrire les codes R

1+1

[1] 2

cars # afficher le dataframe

dim(cars) # dimension du dataframe

[1] 50  2

names(cars) # noms des colonnes ou variables

[1] "speed" "dist" 

help(cars)
cars$speed

 [1]  4  4  7  7  8  9 10 10 10 11 11 12 12 12 12 13 13 13 13 14 14 14 14 15 15 15 16 16
[29] 17 17 17 18 18 18 18 19 19 19 20 20 20 20 20 22 23 24 24 24 24 25

cars[28,1]

[1] 16

plot(cars)

cars%>%plot()

speed_data <- cars %>% select(speed) %>% sum()
cars$speed%>%mean() # Moyenne

[1] 15.4

cars$speed%>%var() # Variance

[1] 27.95918

cars$speed%>%sum() # Somme

[1] 770

cars$speed%>%sd() # Ecart type

[1] 5.287644

cars$speed%>%quantile()  #quantile

  0%  25%  50%  75% 100% 
   4   12   15   19   25 

frcars<-cars%>%mutate(vitesse = speed*1.60934, speed=NULL, distance = dist*1.60934, dist= NULL)
# creer une variable vitesse en kmh

dplyr::summarise(cars,vistesse_Moyenne_mph=mean(speed),distance_Moyenne_m =mean(dist)) 

# Cheat sheet

library(readxl)
Vote <- read_excel("Vote.xlsx")
View(Vote)
vote%>%table()

Error: object 'vote' not found

Add a new chunk by clicking the Insert Chunk button on the toolbar or by pressing Ctrl+Alt+I.

age<-c(12,15,17)%>%mean()
age%>%mean()

[1] 14.66667

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The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike Knit, Preview does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.