Exporting Data From R

1. Writing data from R to a txt|csv file: R base functions
   

• R base functions for writing data: write.table(), write.csv(), write.csv2()
• Writing data to a file

# Loading mtcars data
data("mtcars")
# Write data to txt file: tab separated values
# sep = "\t"
write.table(mtcars, file = "mtcars.txt", sep = "\t",
            row.names = TRUE, col.names = NA)
# Write data to csv files:  
# decimal point = "." and value separators = comma (",")
write.csv(mtcars, file = "mtcars.csv")
# Write data to csv files: 
# decimal point = comma (",") and value separators = semicolon (";")
write.csv2(mtcars, file = "mtcars.csv")

Read more: Writing data from R to a txt|csv file: R base functions

2. Fast writing of Data From R to txt|csv Files: readr package
   

• Installing and loading readr: install.packages(“readr”)
• readr functions for writing data: write_tsv(), write_csv()
• Writing data to a file

# Loading mtcars data
data("mtcars")
library("readr")
# Writing mtcars data to a tsv file
write_tsv(mtcars, path = "mtcars.txt")
# Writing mtcars data to a csv file
write_csv(mtcars, path = "mtcars.csv")

Read more: Fast writing of Data From R to txt|csv Files: readr package

3. Writing data from R to Excel files (xls|xlsx)
   

• Installing xlsx package: install.packages(“xlsx”)
• Using xlsx package: write.xlsx()

library("xlsx")
# Write the first data set in a new workbook
write.xlsx(USArrests, file = "myworkbook.xlsx",
      sheetName = "USA-ARRESTS", append = FALSE)
# Add a second data set in a new worksheet
write.xlsx(mtcars, file = "myworkbook.xlsx", 
           sheetName="MTCARS", append=TRUE)

Read more: Writing data from R to Excel files (xls|xlsx)

4. Saving data into R data format: RDATA and RDS
   

• Save one object to a file: saveRDS(object, file), readRDS(file)
• Save multiple objects to a file: save(data1, data2, file), load(file)
• Save your entire workspace: save.image(), load()

1. Saving and restoring one single R object:

# Save a single object to a file
saveRDS(mtcars, "mtcars.rds")
# Restore it under a different name
my_data <- readRDS("mtcars.rds")

2. Saving and restoring one or more R objects:

# Save multiple objects
save(data1, data2, file = "data.RData")
# To load the data again
load("data.RData")

3. Saving and restoring your entire workspace:

# Save your workspace
save.image(file = "my_work_space.RData")
# Load the workspace again
load("my_work_space.RData")

Read more: Saving data into R data format: RDATA and RDS

5. Create and format Word documents with R and ReporteRs package
   

ReporteRs package, by David Gohel, provides easy to use functions to write and format Word documents. It can be also used to generate Word document from a template file with logos, fonts, etc. ReporteRs is Java-based solution, so it works on Windows, Linux and Mac OS systems.

• Install and load the ReporteRs R package
• Create a simple Word document
  • Add texts : title and paragraphs of texts
  • Format the text of a Word document using R software
  • Add plots and images
  • Add a table
  • Add lists : ordered and unordered lists
  • Add a footnote to a Word document
  • Add R scripts
• Add a table of contents into a Word document

Read more: Create and format Word documents with R and ReporteRs package

6. Create a Word document from a template file with R and ReporteRs package
   

• Quick introduction to ReporteRs package
• Create a Word document using a template file

Read more: Create a Word document from a template file with R and ReporteRs package

7. Add a table into a Word document with R and ReporteRs package
   

• Add a simple table
• Add a formatted table
  • Change the background colors of rows and columns
  • Change cell background and text colors
  • Insert content into a table : header and footer rows
• Analyze, format and export a correlation matrix into a Word document
• Powerpoint

Read more: Add a table into a Word document with R and ReporteRs package

8. Create and format PowerPoint documents with R and ReporteRs
   

• Why is it important to be able to generate a PowerPoint report from R ?
  • Reason I : Many collaborators works with Microsoft office tools
  • Reason II : keeping beautiful R graphs beautiful for publications
• Install and load the ReporteRs package
• Create a simple PowerPoint document
  • Slide layout
  • Generate a simple PowerPoint document from R software
  • Format the text of a PowerPoint document
  • Add plots and images
  • Add a table
  • Add ordered and unordered lists
• Create a PowerPoint document from a template file

Read more: Create and format PowerPoint documents with R and ReporteRs

9. Create an editable graph from R to PowerPoint
   

• Case of base graphs
• Case of graphs generated using ggplot2

Read more: Create an editable graph from R to PowerPoint