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?
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.