1 + 1[1] 21:10 [1] 1 2 3 4 5 6 7 8 9 10sum(1:10)[1] 55Introducción a R avec Quarto
Introduction
Quarto
Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org.
Running Code
When you click the Render button a document will be generated that includes both content and the output of embedded code. You can embed code like this:
You can add options to executable code like this
[1] 4The echo: false option disables the printing of code (only output is displayed).
Travailler avec des data
mtcars mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2mtcars$mpg [1] 21.0 21.0 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 17.8 16.4 17.3 15.2 10.4
[16] 10.4 14.7 32.4 30.4 33.9 21.5 15.5 15.2 13.3 19.2 27.3 26.0 30.4 15.8 19.7
[31] 15.0 21.4mean(mtcars$mpg)[1] 20.09062median(mtcars$mpg)[1] 19.2sd(mtcars$mpg)[1] 6.026948hist(mtcars$mpg)
En ligne on écrit \(E = mc^2\)
\[ E = mc^2 \]
library(tidyverse)── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.4 ✔ readr 2.1.5
✔ forcats 1.0.0 ✔ stringr 1.5.1
✔ ggplot2 3.5.1 ✔ tibble 3.2.1
✔ lubridate 1.9.4 ✔ tidyr 1.3.1
✔ purrr 1.0.4
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorsmtcars %>% select(1:4) mpg cyl disp hp
Mazda RX4 21.0 6 160.0 110
Mazda RX4 Wag 21.0 6 160.0 110
Datsun 710 22.8 4 108.0 93
Hornet 4 Drive 21.4 6 258.0 110
Hornet Sportabout 18.7 8 360.0 175
Valiant 18.1 6 225.0 105
Duster 360 14.3 8 360.0 245
Merc 240D 24.4 4 146.7 62
Merc 230 22.8 4 140.8 95
Merc 280 19.2 6 167.6 123
Merc 280C 17.8 6 167.6 123
Merc 450SE 16.4 8 275.8 180
Merc 450SL 17.3 8 275.8 180
Merc 450SLC 15.2 8 275.8 180
Cadillac Fleetwood 10.4 8 472.0 205
Lincoln Continental 10.4 8 460.0 215
Chrysler Imperial 14.7 8 440.0 230
Fiat 128 32.4 4 78.7 66
Honda Civic 30.4 4 75.7 52
Toyota Corolla 33.9 4 71.1 65
Toyota Corona 21.5 4 120.1 97
Dodge Challenger 15.5 8 318.0 150
AMC Javelin 15.2 8 304.0 150
Camaro Z28 13.3 8 350.0 245
Pontiac Firebird 19.2 8 400.0 175
Fiat X1-9 27.3 4 79.0 66
Porsche 914-2 26.0 4 120.3 91
Lotus Europa 30.4 4 95.1 113
Ford Pantera L 15.8 8 351.0 264
Ferrari Dino 19.7 6 145.0 175
Maserati Bora 15.0 8 301.0 335
Volvo 142E 21.4 4 121.0 109\[L/100\text{km} = \frac{235.215}{mpg}\] Appliquons la formule une nouvelle variable qui donne la consommation en Litre pour 100 km
mtcars%>%mutate("l/100km"=235.215/mpg)%>%
relocate(`l/100km`, .after = mpg) mpg l/100km cyl disp hp drat wt qsec vs am gear
Mazda RX4 21.0 11.200714 6 160.0 110 3.90 2.620 16.46 0 1 4
Mazda RX4 Wag 21.0 11.200714 6 160.0 110 3.90 2.875 17.02 0 1 4
Datsun 710 22.8 10.316447 4 108.0 93 3.85 2.320 18.61 1 1 4
Hornet 4 Drive 21.4 10.991355 6 258.0 110 3.08 3.215 19.44 1 0 3
Hornet Sportabout 18.7 12.578342 8 360.0 175 3.15 3.440 17.02 0 0 3
Valiant 18.1 12.995304 6 225.0 105 2.76 3.460 20.22 1 0 3
Duster 360 14.3 16.448601 8 360.0 245 3.21 3.570 15.84 0 0 3
Merc 240D 24.4 9.639959 4 146.7 62 3.69 3.190 20.00 1 0 4
Merc 230 22.8 10.316447 4 140.8 95 3.92 3.150 22.90 1 0 4
Merc 280 19.2 12.250781 6 167.6 123 3.92 3.440 18.30 1 0 4
Merc 280C 17.8 13.214326 6 167.6 123 3.92 3.440 18.90 1 0 4
Merc 450SE 16.4 14.342378 8 275.8 180 3.07 4.070 17.40 0 0 3
Merc 450SL 17.3 13.596243 8 275.8 180 3.07 3.730 17.60 0 0 3
Merc 450SLC 15.2 15.474671 8 275.8 180 3.07 3.780 18.00 0 0 3
Cadillac Fleetwood 10.4 22.616827 8 472.0 205 2.93 5.250 17.98 0 0 3
Lincoln Continental 10.4 22.616827 8 460.0 215 3.00 5.424 17.82 0 0 3
Chrysler Imperial 14.7 16.001020 8 440.0 230 3.23 5.345 17.42 0 0 3
Fiat 128 32.4 7.259722 4 78.7 66 4.08 2.200 19.47 1 1 4
Honda Civic 30.4 7.737336 4 75.7 52 4.93 1.615 18.52 1 1 4
Toyota Corolla 33.9 6.938496 4 71.1 65 4.22 1.835 19.90 1 1 4
Toyota Corona 21.5 10.940233 4 120.1 97 3.70 2.465 20.01 1 0 3
Dodge Challenger 15.5 15.175161 8 318.0 150 2.76 3.520 16.87 0 0 3
AMC Javelin 15.2 15.474671 8 304.0 150 3.15 3.435 17.30 0 0 3
Camaro Z28 13.3 17.685338 8 350.0 245 3.73 3.840 15.41 0 0 3
Pontiac Firebird 19.2 12.250781 8 400.0 175 3.08 3.845 17.05 0 0 3
Fiat X1-9 27.3 8.615934 4 79.0 66 4.08 1.935 18.90 1 1 4
Porsche 914-2 26.0 9.046731 4 120.3 91 4.43 2.140 16.70 0 1 5
Lotus Europa 30.4 7.737336 4 95.1 113 3.77 1.513 16.90 1 1 5
Ford Pantera L 15.8 14.887025 8 351.0 264 4.22 3.170 14.50 0 1 5
Ferrari Dino 19.7 11.939848 6 145.0 175 3.62 2.770 15.50 0 1 5
Maserati Bora 15.0 15.681000 8 301.0 335 3.54 3.570 14.60 0 1 5
Volvo 142E 21.4 10.991355 4 121.0 109 4.11 2.780 18.60 1 1 4
carb
Mazda RX4 4
Mazda RX4 Wag 4
Datsun 710 1
Hornet 4 Drive 1
Hornet Sportabout 2
Valiant 1
Duster 360 4
Merc 240D 2
Merc 230 2
Merc 280 4
Merc 280C 4
Merc 450SE 3
Merc 450SL 3
Merc 450SLC 3
Cadillac Fleetwood 4
Lincoln Continental 4
Chrysler Imperial 4
Fiat 128 1
Honda Civic 2
Toyota Corolla 1
Toyota Corona 1
Dodge Challenger 2
AMC Javelin 2
Camaro Z28 4
Pontiac Firebird 2
Fiat X1-9 1
Porsche 914-2 2
Lotus Europa 2
Ford Pantera L 4
Ferrari Dino 6
Maserati Bora 8
Volvo 142E 2