Installation of R and R-studio in windows
- https://cran.rediris.es/bin/windows/base/R-3.2.4revised-win.exe
- https://download1.rstudio.org/RStudio-0.99.893.exe
Rconsole:
Proxy settings are configured at invocation command. I will use cygwin to start it:
/cygdrive/c/Program\ Files/R/R-3.2.4revised/bin/x64/Rgui.exe http_proxy=http:/localhost:8888/
You can also load values from internet explorer
/cygdrive/c/Program\ Files/R/R-3.2.4revised/bin/x64/Rgui.exe --internet2
Rconsole in linux
apt-get install r-recommended libxml2-dev libcurl4-openssl-dev libssl-dev wget https://download1.rstudio.org/rstudio-0.99.893-amd64.deb sudo dpkg -i rstudio-0.99.893-amd64.deb
To Find which session file is freezing rstudio:
strace -f rstudio 2>&1 | grep open | grep home
Help. Sistema de ayuda
Online documentation for every package and function: http://www.rdocumentation.org/
help ("read.table")
?
Vignette the command used to open pdf help docs.
Installing new packages. Instalación de paquetes
To install new packages and dependencies
install.packages("curl", dependencies = TRUE)
To install more than one package at the same time, we can use C to make a vector of packages:
install.packages(c("curl","swirl","httr"), dependencies = TRUE)
Swirl package
Swirl() Select_language()
Using and declaring variables.
myval <- 12
R simplest object is a vector, it can be declared using c (combine)
myval <- c(12,21,2)
Variables value can be printed using print function or just their names:
print(myval) myval
To check the objects declared in a session
ls ()
Vectors
Defining a vector with a certain length and type
vector ("numeric", length = 23)
Create a vector with a repeating pattern
(rep(c(TRUE,FALSE),10)) [1] TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE [20] FALSE
Using a vector to index another vector.Return positions that are multiple of 4:
my_vector[c(FALSE,FALSE,FALSE,TRUE)]
Dates. Fechas
Great tutorial to work with dates: http://www.stat.berkeley.edu/~s133/dates.html
today <- Sys.Date()
Load data from a file
mydata <- read.table("mycommaseparatedvaluefile.csv", header=TRUE, sep=",", fileEncoding = "latin1")
view (Data)
sdf
