Functions: Workspace Management

Question 1

all functions

Answer 1

Question 2

.Rdata files

Answer 2

these are the file types that you can save all of your objects to, for loading in or exporting out of R

Question 3

save()

Answer 3

Save two objects as a new .RData file

used to save specific objects in your workspace to an .Rdata file. Can be tedious because you have to enter all of the objects in manually

#in the data folder of my current working directory
save(study1.df, score.by.sex, study1.htest,
file = “data/study1.RData”)

Question 4

save.image()

Answer 4

Save my workspace to complete_image.RData in th,e

saves all of the objects in your workspace to an .Rdata file.

#data folder of my working directory
save.image(file = “data/projectimage.RData”)

Question 5

load()

Answer 5

Load objects in study1.RData into my workspace

To load an .RData file, that is, to import all of the objects contained in the .RData file into your current workspace, use the load() function.

load(file = “data/study1.RData”)

Question 6

rm()

Answer 6

Remove huge.df from workspace

To remove objects from your workspace, use the rm() function.

rm(huge.df)

Question 7

.txt files

Answer 7

While .RData files are great for saving R objects, sometimes you’ll want to export data (usually dataframes) as a simple .txt text file that other programs, like Excel and Shitty Piece of Shitty Shit, can also read. To do this, use the write.table() function.

Question 8

write.table()

Answer 8

Write the pirates dataframe object to a tab-delimited

#text file called pirates.txt in my working directory

write.table(x = pirates,
file = “pirates.txt”, # Save the file as pirates.txt
sep = “\t”) # Make the columns tab-delimited

Question 9

read.table()

Answer 9

Read a tab-delimited text file called mydata.txt

If you have a .txt file that you want to read into R, use the read.table() function.

#from the data folder in my working directory into
#R and store as a new object called mydata

mydata <- read.table(file = ‘data/mydata.txt’, # file is in a data folder in my working directory
sep = ‘\t’, # file is tab–delimited
header = TRUE, # the first row of the data is a header row
stringsAsFactors = FALSE) # do NOT convert strings to factors!!

Question 10

reading files from a URL

Answer 10

you can read files into R from a URL by entering the whole URL into the file field of the read.table() function

Question 11

reading SPSS and excel files into R

Answer 11

first save them out of those platforms as .txt files and then read them into R