#'This function takes the `gapmider` excerpt data frame and
#'compares `write.table()` and `saveRDS()` functions on mini data frame that is the result of the `fgap_coefs()`.
#'
#' @param dat gapminder data frame
#' @param na.rm removes NA (if any)
#'
#' @return txt and rds files and a mini data frame
#' @export
#' @examples
#' fgap_rw(gapminder::gapminder)
fgap_rw <- function(dat, na.rm= TRUE){
# Apply gfgap_coefs()function to the grouped variables country and continent of gapminder data
gfits<- dat %>%
group_by(country, continent) %>%
do(fgap_coefs(.))
# Reorder factor country based on intercept
jCoefs <- within(gfits, country <- reorder(country, intercept))
# define a new variable that holds the original tail end of the data
countryLevels <- data.frame(original = tail(levels(jCoefs$country)))
# Write coefficients in a txt file with write.table()
write.table(jCoefs, "jCoefs.txt", quote = FALSE, sep = "\t", row.names = FALSE)
# Output the coefficients in an `RDS` format with saveRDS()
saveRDS(jCoefs, "jCoefs.rds")
# Read the `jCoefs.txt` file back with read.delim()
jCoefsTable <- read.delim("jCoefs.txt")
# Read the 'jCoefs.rds` file with `readRDS()`
jCoefsRDS <- readRDS("jCoefs.rds")
# add a new coulmn to countryLevel that's the tail end of the `jCoefs.RDS`
countryLevels$postRDS <- tail(levels(jCoefsRDS$country))
# add a new coulmn to countryLevel that's the tail end of the `jCoefs.txt`
countryLevels$postTable <- tail(levels(jCoefsTable$country))
#Clean up
#file.remove(list.files(pattern = "^jCoef"))
# Compare the two files i.e. 'jCoefs.txt' and `jCoefs.RDS` with the original data.
countryLevels
jCoefsRDS
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.