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This file contains data on pain score after laparoscopic vs. open hernia repair. Age, gender and primary/recurrent hernia also included. The ultimate aim here is to work out which of these factors are associated with more pain after this operation.
Script
########################## # Getting started with R # # Ewen Harrison # # April 2013 # # www.datasurg.net # ########################## # Anything after a "#" is a comment and is not run # Run a line or selection of lines with Ctrl-R # Create a working directory # Copy the address of the working directory # Click on the R console window # File > Change dir ... # Paste address into Folder and hit OK. # Can also use command # setwd("C:/Users/Administrator/R") # but note \ need changed to /, which is a pain so above method easier. # Import data from a csv file. # You can export from Excel in .csv format. # This is often easier than importing an .xls file # Read.table into an "object". It can be called anything. # I've used "data" here, but can be anything # Ensure file is in working directory. data<-read.table("lap_hernia.csv", sep=",", header=TRUE) # Check no errors in console. # List objects in workspace ls() # Summarise data summary(data) str(data) head(data) tail(data) data[1:5,] # first 5 lines data[,1:5] # first 5 columns # Get help # If you know the exact command ?read.table # or help(read.table) # If you don't know the exact command. ??read # Help with a package. help(package="ggplot2")
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