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message("Hello")
## Hello
x <- 5
The value of x in 5
library(ggplot2)
g <- ggplot(mtcars, aes(x = as.factor(cyl), y = mpg)) + geom_boxplot()
g
library(xtable)
mtcars.xt <- xtable(mtcars, digits = 0)
digits(mtcars.xt)[c(2, 6:8)] <- 2
print(mtcars.xt, type = "html")
mpg | cyl | disp | hp | drat | wt | qsec | vs | am | gear | carb | |
---|---|---|---|---|---|---|---|---|---|---|---|
Mazda RX4 | 21.00 | 6 | 160 | 110 | 3.90 | 2.62 | 16.46 | 0 | 1 | 4 | 4 |
Mazda RX4 Wag | 21.00 | 6 | 160 | 110 | 3.90 | 2.88 | 17.02 | 0 | 1 | 4 | 4 |
Datsun 710 | 22.80 | 4 | 108 | 93 | 3.85 | 2.32 | 18.61 | 1 | 1 | 4 | 1 |
Hornet 4 Drive | 21.40 | 6 | 258 | 110 | 3.08 | 3.21 | 19.44 | 1 | 0 | 3 | 1 |
Hornet Sportabout | 18.70 | 8 | 360 | 175 | 3.15 | 3.44 | 17.02 | 0 | 0 | 3 | 2 |
Valiant | 18.10 | 6 | 225 | 105 | 2.76 | 3.46 | 20.22 | 1 | 0 | 3 | 1 |
Duster 360 | 14.30 | 8 | 360 | 245 | 3.21 | 3.57 | 15.84 | 0 | 0 | 3 | 4 |
Merc 240D | 24.40 | 4 | 147 | 62 | 3.69 | 3.19 | 20.00 | 1 | 0 | 4 | 2 |
Merc 230 | 22.80 | 4 | 141 | 95 | 3.92 | 3.15 | 22.90 | 1 | 0 | 4 | 2 |
Merc 280 | 19.20 | 6 | 168 | 123 | 3.92 | 3.44 | 18.30 | 1 | 0 | 4 | 4 |
Merc 280C | 17.80 | 6 | 168 | 123 | 3.92 | 3.44 | 18.90 | 1 | 0 | 4 | 4 |
Merc 450SE | 16.40 | 8 | 276 | 180 | 3.07 | 4.07 | 17.40 | 0 | 0 | 3 | 3 |
Merc 450SL | 17.30 | 8 | 276 | 180 | 3.07 | 3.73 | 17.60 | 0 | 0 | 3 | 3 |
Merc 450SLC | 15.20 | 8 | 276 | 180 | 3.07 | 3.78 | 18.00 | 0 | 0 | 3 | 3 |
Cadillac Fleetwood | 10.40 | 8 | 472 | 205 | 2.93 | 5.25 | 17.98 | 0 | 0 | 3 | 4 |
Lincoln Continental | 10.40 | 8 | 460 | 215 | 3.00 | 5.42 | 17.82 | 0 | 0 | 3 | 4 |
Chrysler Imperial | 14.70 | 8 | 440 | 230 | 3.23 | 5.34 | 17.42 | 0 | 0 | 3 | 4 |
Fiat 128 | 32.40 | 4 | 79 | 66 | 4.08 | 2.20 | 19.47 | 1 | 1 | 4 | 1 |
Honda Civic | 30.40 | 4 | 76 | 52 | 4.93 | 1.61 | 18.52 | 1 | 1 | 4 | 2 |
Toyota Corolla | 33.90 | 4 | 71 | 65 | 4.22 | 1.83 | 19.90 | 1 | 1 | 4 | 1 |
Toyota Corona | 21.50 | 4 | 120 | 97 | 3.70 | 2.46 | 20.01 | 1 | 0 | 3 | 1 |
Dodge Challenger | 15.50 | 8 | 318 | 150 | 2.76 | 3.52 | 16.87 | 0 | 0 | 3 | 2 |
AMC Javelin | 15.20 | 8 | 304 | 150 | 3.15 | 3.44 | 17.30 | 0 | 0 | 3 | 2 |
Camaro Z28 | 13.30 | 8 | 350 | 245 | 3.73 | 3.84 | 15.41 | 0 | 0 | 3 | 4 |
Pontiac Firebird | 19.20 | 8 | 400 | 175 | 3.08 | 3.85 | 17.05 | 0 | 0 | 3 | 2 |
Fiat X1-9 | 27.30 | 4 | 79 | 66 | 4.08 | 1.94 | 18.90 | 1 | 1 | 4 | 1 |
Porsche 914-2 | 26.00 | 4 | 120 | 91 | 4.43 | 2.14 | 16.70 | 0 | 1 | 5 | 2 |
Lotus Europa | 30.40 | 4 | 95 | 113 | 3.77 | 1.51 | 16.90 | 1 | 1 | 5 | 2 |
Ford Pantera L | 15.80 | 8 | 351 | 264 | 4.22 | 3.17 | 14.50 | 0 | 1 | 5 | 4 |
Ferrari Dino | 19.70 | 6 | 145 | 175 | 3.62 | 2.77 | 15.50 | 0 | 1 | 5 | 6 |
Maserati Bora | 15.00 | 8 | 301 | 335 | 3.54 | 3.57 | 14.60 | 0 | 1 | 5 | 8 |
Volvo 142E | 21.40 | 4 | 121 | 109 | 4.11 | 2.78 | 18.60 | 1 | 1 | 4 | 2 |
## Loading required package: bibtex
##
## Attaching package: 'knitcitations'
##
## The following object is masked from 'package:utils':
##
## cite
To use knitcitations, you call citet() or citep() with a DOI.
Later we'll use Bioconductor (Gentleman et al. 2004 ).