export | R Documentation |
Export data to a file, with format automatically judged from file extension.
This function is inspired by rio::export()
and has several modifications.
Its purpose is to avoid using lots of write_xxx()
functions in your code
and to provide one tidy function for data export.
It supports many file formats and uses corresponding R functions:
Plain text (.txt, .csv, .csv2, .tsv, .psv), using data.table::fwrite()
;
if the encoding
argument is specified, using utils::write.table()
instead
Excel (.xls, .xlsx), using openxlsx::write.xlsx()
SPSS (.sav), using haven::write_sav()
Stata (.dta), using haven::write_dta()
R objects (.rda, .rdata, .RData), using base::save()
R serialized objects (.rds), using base::saveRDS()
Clipboard (on Windows and Mac OS), using clipr::write_clip()
Other formats, using rio::export()
export(
x,
file,
encoding = NULL,
header = "auto",
sheet = NULL,
overwrite = TRUE,
verbose = FALSE
)
x |
Any R object, usually a data frame ( If you want to save R objects other than a data frame (e.g., model results),
you'd better specify |
file |
File name (with extension). If unspecified, then data will be exported to clipboard. |
encoding |
File encoding. Defaults to If you find messy code for Chinese text in the exported data (often in CSV when opened with Excel),
it is usually useful to set |
header |
Does the first row contain column names ( |
sheet |
[Only for Excel] Excel sheet name(s).
Defaults to "Sheet1", "Sheet2", ...
You may specify multiple sheet names in a character vector
|
overwrite |
Overwrite the existing file (if any)? Defaults to |
verbose |
Print output information? Defaults to |
No return value.
import
, print_table
## Not run:
export(airquality) # paste to clipboard
export(airquality, file="mydata.csv")
export(airquality, file="mydata.sav")
export(list(airquality, npk), file="mydata.xlsx") # Sheet1, Sheet2
export(list(air=airquality, npk=npk), file="mydata.xlsx") # a named list
export(list(airquality, npk), sheet=c("air", "npk"), file="mydata.xlsx")
export(list(a=1, b=npk, c="character"), file="abc.Rdata") # .rda, .rdata
d = import("abc.Rdata") # load only the first object and rename it to `d`
load("abc.Rdata") # load all objects with original names to environment
export(lm(yield ~ N*P*K, data=npk), file="lm_npk.Rdata")
model = import("lm_npk.Rdata")
load("lm_npk.Rdata") # because x is unnamed, the object has a name "List1"
export(list(m1=lm(yield ~ N*P*K, data=npk)), file="lm_npk.Rdata")
model = import("lm_npk.Rdata")
load("lm_npk.Rdata") # because x is named, the object has a name "m1"
## End(Not run)
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