This function is used to centralize the function for reading .csv files across the HADES ecosystem. This function will automatically convert from snake_case in the file to camelCase in the data.frame returned as is the standard described in:

readCsv(file, warnOnCaseMismatch = TRUE, colTypes = readr::cols())



The .csv file to read.


When TRUE, raise a warning if column headings in the .csv are not in snake_case format


Corresponds to the `col_types` in the `readr::read_csv` function. One of `NULL`, a [readr::cols()] specification, or a string. See `vignette("readr")` for more details.

If `NULL`, all column types will be inferred from `guess_max` rows of the input, interspersed throughout the file. This is convenient (and fast), but not robust. If the guessed types are wrong, you'll need to increase `guess_max` or supply the correct types yourself.

Column specifications created by [list()] or [cols()] must contain one column specification for each column.

Alternatively, you can use a compact string representation where each character represents one column: - c = character - i = integer - n = number - d = double - l = logical - f = factor - D = date - T = date time - t = time - ? = guess - _ or - = skip

By default, reading a file without a column specification will print a message showing what `readr` guessed they were. To remove this message, set `show_col_types = FALSE` or set `options(readr.show_col_types = FALSE)`.


A tibble with the .csv contents