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Copy path2021-12-21_dfci_prostate_upload_check.R
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2021-12-21_dfci_prostate_upload_check.R
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# Description: Check the DFCI upload to see if header and data columns match.
# Author: Haley Hunter-Zinck
# Date: 2021-12-21
# setup ----------------------------
tic = as.double(Sys.time())
library(glue)
library(dplyr)
library(synapser)
synLogin()
# synapse
synid_file_data <- "syn26230815"
synid_file_header <- "syn25592217"
# functions ----------------------------
#' Download and load data stored in csv or other delimited format on Synapse
#' into an R data frame.
#'
#' @param synapse_id Synapse ID
#' @version Version of the Synapse entity to download. NA will load current
#' version
#' @param set Delimiter for file
#' @param na.strings Vector of strings to be read in as NA values
#' @param header TRUE if the file contains a header row; FALSE otherwise.
#' @param check_names TRUE if column names should be modified for compatibility
#' with R upon reading; FALSE otherwise.
#' @return data frame
get_synapse_entity_data_in_csv <- function(synapse_id,
version = NA,
sep = ",",
na.strings = c("NA"),
header = T,
check_names = F) {
if (is.na(version)) {
entity <- synGet(synapse_id)
} else {
entity <- synGet(synapse_id, version = version)
}
data <- read.csv(entity$path, stringsAsFactors = F,
na.strings = na.strings, sep = sep, check.names = check_names,
header = header)
return(data)
}
# read ----------------------------
data <- get_synapse_entity_data_in_csv(synid_file_data)
header <- as.character(read.csv(synGet(synid_file_header)$path, check.names = F,
na.strings = c(""),
stringsAsFactors = F))
# close out ----------------------------
print(glue("Number of columns in data matrix: {ncol(data)}"))
print(glue("Length of header data: {length(header)}"))
toc = as.double(Sys.time())
print(glue("Runtime: {round(toc - tic)} s"))