Aanalyse descriptive de mortalite

library(questionr)
data(fecondite)

library(data.table)
library(dplyr)
setDT(menages)
setDT(femmes)
setDT(enfants)

library(lubridate)
library(labelled)

here

at first calculate the duratioton of observation to know time passed of the date of brithe et la date de passation de l’enretien (fournie par le tabeau de donnees femmes)

# library
library(ggplot2)
head(mtcars)
                   mpg cyl disp  hp drat    wt  qsec vs am gear carb
Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1
# basic graph
p = ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point()

# Add text on a specific positions:
p + annotate("text", x = c(2, 4.5), y = c(20, 25), label = c("label 1", "label 2"), 
    color = "orange", size = 5, angle = 45, fontface = "bold")

ATTENTION : ily ya enfanft so-disant nes apres la date d enquete.

r # Add rectangles p + annotate("rect", xmin = c(2, 4), xmax = c(3, 5), ymin = c(20, 10), ymax = c(30, 35), alpha = 0.2, color = "red", fill = "blue")

r # Add segments p + annotate("segment", x = 1, xend = 3, y = 25, yend = 15, colour = "purple", size = 3, alpha = 0.6)

r # Add arrow p + annotate("segment", x = 2, xend = 4, y = 15, yend = 25, colour = "pink", size = 3, alpha = 0.6, arrow = arrow())