R version 3.5.1; package: readr; read_csv (); Windows 7 Ultimate (Servi Pack 1); missing space to execute command

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R version 3.5.1; package: readr; read_csv (); Windows 7 Ultimate (Servi Pack 1); missing space to execute command

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R version 3.5.1; package: readr; read_csv (); Windows 7 Ultimate (Servi Pack 1); lack space to execute command

2.95 GB of RAM; 33 GB of Hard Disk space.

Function to read 9,060,698 Rows of a CSV file, the .zip file weighs 65 MB and the .csv file 1.98 GB

ozone <-read_csv("data/hourly_44201_2014.csv", col_types="ccccccinnccccccncnncccccc")

Error in guess_header_(datasource, tokenizer, locale) : 
  Cannot read file C:/Users/Antonio/Documents/data/hourly_44201_2014.csv: Espacio de almacenamiento insuficiente para procesar este comando.

This is an exercise in the book "Art Of Data Science" Restart the computer and add the n_max parameter with values of: 1,000,000; 100,000; 10,000; 1000; 100; 10 and for each value throws me the same message.

I have modified the IRPStackSize registry key to values of 11, 1,000, 1,000,000, 19,000,000 without success

How can I solve this bug?

r datatable data

asked by Antonio Cardoza 09.11.2018 в 03:15

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It was a Team Resource Problem , I checked it by downloading a new file that when unzipping it 211 MB , and execute the respective lines I could import the data.

I must thank Patricio Moracho for clarifying that when unzipping the original file (65 MB) it was a file of 1.98 GB , which he did not know and did not lend him importance and guide me to know the cause of the problem. Well for now I can not solve the resource problem but in the case of an exercise I can change the data with which I will work.