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December 27, 2016 06:12
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Script to remove dates from files and convert them to days since initial visit
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date_to_day <- function(file_name, first_date){ | |
data <- read.table(file_name, header=TRUE, sep='\t', quote = NULL, row.names = NULL, check.names = FALSE) | |
data$Date <- as.character(data$Date) | |
data <- data[order(as.Date(data$Date, "%m/%d/%y")), ] | |
data$Date <- as.Date(data$Date, "%m/%d/%y") | |
if(is.null(first_date) == TRUE){ | |
first_date <- data[1, ]$Date | |
} | |
else{ | |
first_date <- as.Date(first_date, "%m/%d/%y") | |
} | |
Day <- rep(NA, times=nrow(data)) | |
data$Day <- Day | |
for(i in seq(nrow(data))){ | |
data[i, ]$Day <- data[i, ]$Date - first_date | |
} | |
#Uncomment the lines below to delete the dates from the file | |
#col_to_remove <- which(names(data) == "Date") | |
#data <- data[-c(col_to_remove)] | |
write.table(data, file=file_name, quote=FALSE, sep='\t', row.names = FALSE) | |
#Return data so user can preview in R | |
return(data) | |
} | |
file <- 'RCL-IDH-029.txt' | |
#Make sure you are in the directory where your files are stored | |
#The first parameter is the name of the file | |
#The second paramter is the first date the patient was tested | |
#If the patient hasn't been used in TEV yet, leave as NULL and the earliest date in the file | |
#Will be used as timepoint 0 | |
#Otherwise supply earliest date used in TEV in the format 'm/d/yy', i.e '5/14/16' | |
data <- date_to_day(file, NULL) |
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