R is now a large community. Today we have 4,567 6,139 R packages. My attempt here is to jot down the code snippets based on the newer packages (by following table of available packages, sorted by date of publication).
The chunk of the codes will be taken either from the Vignette or from the main package documentation pdf. I also like to include stack overflow threads if there are interesting questions. These interesting and easy-to-apply codes will be applied to different data sets to develop models and assumptions.
Packages used in this post are:
pander, DT, data.table
library(pander)
pandoc.table(mtcars[1:3, 1:4])
##
## -------------------------------------------
## mpg cyl disp hp
## ------------------- ----- ----- ------ ----
## **Mazda RX4** 21 6 160 110
##
## **Mazda RX4 Wag** 21 6 160 110
##
## **Datsun 710** 22.8 4 108 93
## -------------------------------------------
pandoc.table(mtcars[1:2, ], style = "grid", caption = "Hello caption!")
##
##
## +---------------------+-------+-------+--------+------+--------+-------+
## | | mpg | cyl | disp | hp | drat | wt |
## +=====================+=======+=======+========+======+========+=======+
## | **Mazda RX4** | 21 | 6 | 160 | 110 | 3.9 | 2.62 |
## +---------------------+-------+-------+--------+------+--------+-------+
## | **Mazda RX4 Wag** | 21 | 6 | 160 | 110 | 3.9 | 2.875 |
## +---------------------+-------+-------+--------+------+--------+-------+
##
## Table: Hello caption! (continued below)
##
##
##
## +---------------------+--------+------+------+--------+--------+
## | | qsec | vs | am | gear | carb |
## +=====================+========+======+======+========+========+
## | **Mazda RX4** | 16.46 | 0 | 1 | 4 | 4 |
## +---------------------+--------+------+------+--------+--------+
## | **Mazda RX4 Wag** | 17.02 | 0 | 1 | 4 | 4 |
## +---------------------+--------+------+------+--------+--------+
pander(prcomp(USArrests))
## Error in pandoc.table.return(...): Wrong number of parameters (17 instead of *5*) passed: justify
counts <- c(18, 17, 15, 20, 10, 20, 25, 13, 12)
outcome <- gl(3, 1, 9)
treatment <- gl(3, 3)
m <- glm(counts ~ outcome + treatment, family = poisson())
DT package is not on CRAN yet, and you can install it with devtools. Need to do following:
install.packages(“devtools”)
library(devtools)
devtools::install_github('rstudio/DT')
## Warning in file(file, "rt"): cannot open file 'aa.csv': No such file or
## directory
## Error in file(file, "rt"): cannot open the connection
## Error in datatable(data): 'data' must be either a matrix or a data frame
library(data.table)
DF = data.frame(x=rep(c("a","b","c"),each=3), y=c(1,3,6), v=1:9)
DT = data.table(x=rep(c("a","b","c"),each=3), y=c(1,3,6), v=1:9)
DF
## x y v
## 1 a 1 1
## 2 a 3 2
## 3 a 6 3
## 4 b 1 4
## 5 b 3 5
## 6 b 6 6
## 7 c 1 7
## 8 c 3 8
## 9 c 6 9
DT
## x y v
## 1: a 1 1
## 2: a 3 2
## 3: a 6 3
## 4: b 1 4
## 5: b 3 5
## 6: b 6 6
## 7: c 1 7
## 8: c 3 8
## 9: c 6 9
data(mtcars)
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
mtcars.dt <- data.table(mtcars)
head(mtcars.dt)
## mpg cyl disp hp drat wt qsec vs am gear carb
## 1: 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
## 2: 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
## 3: 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
## 4: 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
## 5: 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
## 6: 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
mtcars.dt1 <- data.table(mtcars, keep.rownames = TRUE)
head(mtcars.dt1)
## rn mpg cyl disp hp drat wt qsec vs am gear carb
## 1: Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
## 2: Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
## 3: Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
## 4: Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
## 5: Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
## 6: Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
That's all for this docco. :)