Export data to Excel

问题:

I am writing codes to export database from R into Excel, I have been trying others codes including:

write.table(ALBERTA1, "D:/ALBERTA1.txt", sep="\t")
write.csv(ALBERTA1,":\ALBERTA1.csv")
your_filename_in_R = read.csv("ALBERTA1.csv")
your_filename_in_R = read.csv("ALBERTA1.csv")
write.csv(df, file = "ALBERTA1.csv")
your_filename_in_R = read.csv("ALBERTA1.csv")
write.csv(ALBERTA1, "ALBERTA1.csv")
write.table(ALBERTA1, 'clipboard', sep='\t')
write.table(ALBERTA1,"ALBERTA1.txt")
write.table(as.matrix(ALBERTA2),"ALBERTA2.txt")
write.table(as.matrix(vecm.pred$fcst$Alberta_Females[,1]), "vecm.pred$fcst$Alberta_Females[,1].txt")
write.table(as.matrix(foo),"foo.txt")
write.xlsx(ALBERTA2, "/ALBERTA2.xlsx")
write.table(ALBERTA1, "D:/ALBERTA1.txt", sep="\t").

Other users of this forum advised me this:

write.csv2(ALBERTA1, "ALBERTA1.csv")
write.table(kt, "D:/kt.txt", sep="\t", row.names=FALSE)

You can see on the pictures the outcome I have got from this codes above. But this numbers can't be used to make any further operations such as addition with other matrices.

Has someone experienced this kind of problems?

回答1:

Recently used xlsx package, works well.

library(xlsx)
write.xlsx(x, file, sheetName="Sheet1")

where x is a data.frame

回答2:

Another option is the openxlsx-package. It doesn't depend on java and can read, edit and write Excel-files. From the description from the package:

openxlsx simplifies the the process of writing and styling Excel xlsx files from R and removes the dependency on Java

Example usage:

library(openxlsx)

# read data from an Excel file or Workbook object into a data.frame
df <- read.xlsx('name-of-your-excel-file.xlsx')

# for writing a data.frame or list of data.frames to an xlsx file
write.xlsx(df, 'name-of-your-excel-file.xlsx')

Besides these two basic functions, the openxlsx-package has a host of other functions for manipulating Excel-files.

For example, with the writeDataTable-function you can create formatted tables in an Excel-file.

回答3:

The WriteXLS function from the WriteXLS package can write data to Excel.

Alternatively, write.xlsx from the xlsx package will also work.

回答4:

writexl, without Java requirement:

# install.packages("writexl")
library(writexl)
tempfile <- write_xlsx(iris)

回答5:

I have been trying out the different packages including the function:

install.packages ("prettyR") 

library (prettyR)

delimit.table (Corrvar,"Name the csv.csv") ## Corrvar is a name of an object from an output I had on scaled variables to run a regression.

However I tried this same code for an output from another analysis (occupancy models model selection output) and it did not work. And after many attempts and exploration I:

• copied the output from R (Ctrl+c)
• in Excel sheet I pasted it (Ctrl+V)
• Select the first column where the data is

• In the "Data" vignette, click on "Text to column"

• Select Delimited option, click next

• Tick space box in "Separator", click next

• Click Finalize (End)

Your output now should be in a form you can manipulate easy in excel. So perhaps not the fanciest option but it does the trick if you just want to explore your data in another way.

PS. If the labels in excel are not the exact one it is because Im translating the lables from my spanish excel.

回答6:

I encountered the same problem and within excel,found a solution to display the numbers with correct decimal separation. Convert text to columns -> Delimited(next)-> tick comma(next)-> Advanced..-> thousands separator-> choose= ' -> ok-> finish