Last active
August 29, 2015 14:00
-
-
Save fawda123/20688ace86604259de4e to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# 'root' character string of directory to search | |
# 'file_typs' character vector of file types to search | |
# 'omit_blank' logical indicating of blank lines are counted | |
# 'recursive' logical indicating if all directories within 'root' are searched | |
# 'lns' logical indicating if lines are counted, use F for counting characters | |
# 'trace' logical for monitoring progress | |
file.lens <- function(root, file_typs, omit_blank = F, recursive = T, | |
lns = T, trace = T){ | |
require(reshape2) | |
# get files by recursive search, uses 'list.files' | |
if(trace) cat(paste0('Finding files in ', root, '...\n')) | |
files <- list.files( | |
root, | |
pattern = paste(paste0('\\.',file_typs,'$'), collapse = '|'), | |
recursive = recursive, | |
full.names = T, | |
ignore.case = T | |
) | |
# stop if no files found | |
if(length(files) == 0) return(cat('No files found\n')) | |
# read files, get info | |
out_ls <- vector('list', length(files)) | |
names(out_ls) <- files | |
for(fl in files){ | |
if(trace) cat(fl, '\n') | |
# read file | |
tmp <- readLines(fl, warn = F) | |
# get file information | |
fl_len <- length(tmp) | |
if(omit_blank) fl_len <- sum(tmp != '') | |
fl_nchr <- sum(nchar(tmp)) | |
Date <- file.info(fl)$mtime | |
# combine file info, append to output | |
# line or character total | |
if(lns) | |
out <- data.frame( | |
fl = basename(fl), | |
Length = fl_len, | |
Date = as.character(Date), | |
stringsAsFactors = F) | |
else | |
out <- data.frame( | |
fl = basename(fl), | |
Length = fl_nchr, | |
Date = as.character(Date), | |
stringsAsFactors = F) | |
out_ls[[fl]] <- out | |
} | |
# convert list to data frame | |
out_df <- do.call('rbind', out_ls) | |
out_df$fl_typ <- out_df$fl | |
out_df <- data.frame(out_df, row.names = 1:nrow(out_df)) | |
out_df$fl_typ <- tolower(lapply(strsplit(out_df$fl_typ, '\\.'), | |
function(x) x[[length(x)]])) | |
# convert file date to posix then date, order by date | |
out_df$Date <- as.POSIXct(as.character(out_df$Date), | |
format = '%Y-%m-%d %H:%M:%S') | |
out_df$Date <- as.Date(out_df$Date) | |
out_df <- out_df[order(out_df$Date),] | |
# get cumulative sums by file type | |
out_df <- lapply( | |
split(out_df, out_df$fl_typ), | |
function(x){ | |
tmp <- x[order(x$Date),] | |
tmp$cum_len <- cumsum(tmp$Length) | |
tmp[,!names(tmp) %in% 'fl_typ'] | |
}) | |
# add column of file type using melt | |
# reassign column name | |
out_df <- melt(out_df, id.var = c('fl', 'Length', 'Date', 'cum_len')) | |
names(out_df)[names(out_df) %in% 'L1'] <- 'Type' | |
return(out_df) | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Just updated, try it now....