read_csv_count: Reads a sas file by chunks and summarize everything

In arnaud-feldmann/RchunkNcount: Counting chunks on CSV and SAS files

Description

'read_csv_count' and 'read_csv2_count'allows you to wrap the readr functions in order to make the usual dplyr counts without exploding the ram.

Usage

read_csv_count(
  data_file,
  col_select,
  ...,
  row_filter = NULL,
  chunk_size = 10000,
  name = "n",
  weight = NULL,
  col_types = NULL
)

Arguments

data_file	Path to data and catalog files
col_select	the selected columns
...	some mutate to be done
row_filter	the filtering expression
chunk_size	the size of the chunks
name	the name of the columns for counts
weight	a column to be taken as weights for the counts
col_types	the column, types, like in readr.

Details

Everything is summarized, grouped by the output columns, and counted into the variable of name 'name' with a weight equal to 'weight'. You can add or modify the columns with the '...' as you would into a 'mutate', and you can filter the rows with a the argument 'row_filter' (as you would with 'filter').

Value

a tibble

arnaud-feldmann/RchunkNcount documentation built on Dec. 19, 2021, 4:39 a.m.