Recettes

Desserts

Les crêpes

Pour faire des crêpes nous avons besoin de :

  • farine
  • lait
  • oeufs
  • sucre
    • semoule
    • cassonade

Les étapes sont :

  1. verser la farine
  2. ajouter les oeufs
  3. ajouter le lait
  4. ajouter les sucres
    • 4.1 semoule
    • 4.2 cassonade

Import data

Pima <- read.csv2(here::here("data/Pima.csv"))

Description

Global

summary(Pima)
##     pregnant         glucose         pressure         triceps     
##  Min.   : 0.000   Min.   : 56.0   Min.   : 24.00   Min.   : 7.00  
##  1st Qu.: 1.000   1st Qu.: 99.0   1st Qu.: 62.00   1st Qu.:21.00  
##  Median : 2.000   Median :119.0   Median : 70.00   Median :29.00  
##  Mean   : 3.301   Mean   :122.6   Mean   : 70.66   Mean   :29.15  
##  3rd Qu.: 5.000   3rd Qu.:143.0   3rd Qu.: 78.00   3rd Qu.:37.00  
##  Max.   :17.000   Max.   :198.0   Max.   :110.00   Max.   :63.00  
##     insulin            mass          pedigree           age       
##  Min.   : 14.00   Min.   :18.20   Min.   :0.0850   Min.   :21.00  
##  1st Qu.: 76.75   1st Qu.:28.40   1st Qu.:0.2697   1st Qu.:23.00  
##  Median :125.50   Median :33.20   Median :0.4495   Median :27.00  
##  Mean   :156.06   Mean   :33.09   Mean   :0.5230   Mean   :30.86  
##  3rd Qu.:190.00   3rd Qu.:37.10   3rd Qu.:0.6870   3rd Qu.:36.00  
##  Max.   :846.00   Max.   :67.10   Max.   :2.4200   Max.   :81.00  
##    diabetes        
##  Length:392        
##  Class :character  
##  Mode  :character  
##                    
##                    
## 

Stratifiée sur le diabete

by(Pima, Pima$diabetes, summary)
## Pima$diabetes: neg
##     pregnant         glucose         pressure         triceps     
##  Min.   : 0.000   Min.   : 56.0   Min.   : 24.00   Min.   : 7.00  
##  1st Qu.: 1.000   1st Qu.: 94.0   1st Qu.: 60.00   1st Qu.:18.25  
##  Median : 2.000   Median :107.5   Median : 70.00   Median :27.00  
##  Mean   : 2.721   Mean   :111.4   Mean   : 68.97   Mean   :27.25  
##  3rd Qu.: 4.000   3rd Qu.:126.0   3rd Qu.: 76.00   3rd Qu.:34.00  
##  Max.   :13.000   Max.   :197.0   Max.   :106.00   Max.   :60.00  
##     insulin           mass          pedigree           age       
##  Min.   : 15.0   Min.   :18.20   Min.   :0.0850   Min.   :21.00  
##  1st Qu.: 66.0   1st Qu.:26.12   1st Qu.:0.2610   1st Qu.:22.00  
##  Median :105.0   Median :31.25   Median :0.4135   Median :25.00  
##  Mean   :130.9   Mean   :31.75   Mean   :0.4722   Mean   :28.35  
##  3rd Qu.:163.8   3rd Qu.:36.10   3rd Qu.:0.6242   3rd Qu.:30.00  
##  Max.   :744.0   Max.   :57.30   Max.   :2.3290   Max.   :81.00  
##    diabetes        
##  Length:262        
##  Class :character  
##  Mode  :character  
##                    
##                    
##                    
## ------------------------------------------------------------ 
## Pima$diabetes: pos
##     pregnant         glucose         pressure         triceps     
##  Min.   : 0.000   Min.   : 78.0   Min.   : 30.00   Min.   : 7.00  
##  1st Qu.: 1.000   1st Qu.:124.2   1st Qu.: 66.50   1st Qu.:26.00  
##  Median : 3.000   Median :144.5   Median : 74.00   Median :33.00  
##  Mean   : 4.469   Mean   :145.2   Mean   : 74.08   Mean   :32.96  
##  3rd Qu.: 7.000   3rd Qu.:171.8   3rd Qu.: 82.00   3rd Qu.:39.75  
##  Max.   :17.000   Max.   :198.0   Max.   :110.00   Max.   :63.00  
##     insulin           mass          pedigree           age       
##  Min.   : 14.0   Min.   :22.90   Min.   :0.1270   Min.   :21.00  
##  1st Qu.:127.5   1st Qu.:31.60   1st Qu.:0.3297   1st Qu.:27.25  
##  Median :169.5   Median :34.60   Median :0.5460   Median :33.00  
##  Mean   :206.8   Mean   :35.78   Mean   :0.6256   Mean   :35.94  
##  3rd Qu.:239.2   3rd Qu.:38.35   3rd Qu.:0.7865   3rd Qu.:43.00  
##  Max.   :846.0   Max.   :67.10   Max.   :2.4200   Max.   :60.00  
##    diabetes        
##  Length:130        
##  Class :character  
##  Mode  :character  
##                    
##                    
## 

Visualisation

glucose

library(ggplot2)
ggplot(Pima, aes(y=glucose, x=diabetes, fill=diabetes, colour=diabetes))+
    geom_jitter(height=0, width=0.25)+
    geom_boxplot(alpha=0.5, outlier.alpha=0, notch=TRUE)

insulin

library(ggplot2)
ggplot(Pima, aes(y=insulin, x=diabetes, fill=diabetes, colour=diabetes))+
    geom_jitter(height=0, width=0.25)+
    geom_boxplot(alpha=0.5, outlier.alpha=0, notch=TRUE)

\[ \sigma^{2}=\frac{1}{n} \sum_{i=1}^{n}\left(x_{i}-\mu\right)^{2} \]

mon_image Blablabla 1

Tralala 2

La sélection de variables est un sujet toujours d’actualité [@Heinze2017]


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