Is it that the column names in R are limited by a maximum length?\nWhen I am trying to access the entries of a column which are 0, I am getting the same answer even without entering the entire column name, i.e. using PredDemand, PredDeman, PredDema, etc.\nPlease see the screenshot below:
\n\nWhy is this happening?
\n\nThanks.
", "messages": [ { "id": "129203", "postDate": "07/27/2016 14:13:50", "content": "Is it that the column names in R are limited by a maximum length?\nWhen I am trying to access the entries of a column which are 0, I am getting the same answer even without entering the entire column name, i.e. using PredDemand, PredDeman, PredDema, etc.\nPlease see the screenshot below:
\n\nWhy is this happening?
\n\nThanks.
", "rawMarkdown": "Is it that the column names in R are limited by a maximum length?\r\nWhen I am trying to access the entries of a column which are 0, I am getting the same answer even without entering the entire column name, i.e. using PredDemand, PredDeman, PredDema, etc.\r\nPlease see the screenshot below:\r\n\r\nWhy is this happening?\r\n\r\nThanks.", "votes": null }, { "id": "129208", "postDate": "07/27/2016 14:41:28", "content": "Without knowing more, I can guess the following: you are low on memory either because of the total amount of RAM in your machine, or because your current session has a lot of objects already there. Clean up the workspace a bit and try again.
", "rawMarkdown": "Without knowing more, I can guess the following: you are low on memory either because of the total amount of RAM in your machine, or because your current session has a lot of objects already there. Clean up the workspace a bit and try again.", "votes": null }, { "id": "129210", "postDate": "07/27/2016 15:24:24", "content": "Oh. There are a lot of objects in memory, but sufficient memory is free as well.\nIn any case, df$Thisisavariable should not be equal to df$Thisisa or df$Thisisavaria.\nIsn't it?
", "rawMarkdown": "Oh. There are a lot of objects in memory, but sufficient memory is free as well.\r\nIn any case, df$Thisisavariable should not be equal to df$Thisisa or df$Thisisavaria.\r\nIsn't it?", "votes": null }, { "id": "129325", "postDate": "07/28/2016 19:36:16", "content": "Looks like a feature to me. I just tested and R will let you use a partial variable name as long as it can be resolved to a unique field. If it can't, it will return NULL. Never noticed that before - thanks!
", "rawMarkdown": "Looks like a feature to me. I just tested and R will let you use a partial variable name as long as it can be resolved to a unique field. If it can't, it will return NULL. Never noticed that before - thanks!", "votes": null }, { "id": "129449", "postDate": "07/29/2016 19:33:58", "content": "Yep, it's a "convenience" feature, nothing to do with memory allocation. As long as there is a unique feature name that starts with your partial name R will return that feature.
\n\nSo for example mtcars$dr == mtcars$drat and mtcars$di == mtcars$disp are true. \n However mtcars$d returns NULL since there are multiple features beginning with "d".
Thanks Alexandru for explaining the feature and crimeprophet for testing out the situation. Participating in the Grupo Bimbo challenge has helped us revisit an interesting feature of R.
", "rawMarkdown": "Thanks Alexandru for explaining the feature and crimeprophet for testing out the situation. Participating in the Grupo Bimbo challenge has helped us revisit an interesting feature of R.", "votes": null } ], "comments": [ { "id": 129208, "author_name": "konradb", "author_url": "", "post_date": "07/27/2016 14:41:28", "content": "Without knowing more, I can guess the following: you are low on memory either because of the total amount of RAM in your machine, or because your current session has a lot of objects already there. Clean up the workspace a bit and try again.
", "votes": null, "replies": [] }, { "id": 129210, "author_name": "singhn9", "author_url": "", "post_date": "07/27/2016 15:24:24", "content": "Oh. There are a lot of objects in memory, but sufficient memory is free as well.\nIn any case, df$Thisisavariable should not be equal to df$Thisisa or df$Thisisavaria.\nIsn't it?
", "votes": null, "replies": [] }, { "id": 129325, "author_name": "crimeprophet", "author_url": "", "post_date": "07/28/2016 19:36:16", "content": "Looks like a feature to me. I just tested and R will let you use a partial variable name as long as it can be resolved to a unique field. If it can't, it will return NULL. Never noticed that before - thanks!
", "votes": null, "replies": [] }, { "id": 129449, "author_name": "apapiu", "author_url": "", "post_date": "07/29/2016 19:33:58", "content": "Yep, it's a "convenience" feature, nothing to do with memory allocation. As long as there is a unique feature name that starts with your partial name R will return that feature.
\n\nSo for example mtcars$dr == mtcars$drat and mtcars$di == mtcars$disp are true. \n However mtcars$d returns NULL since there are multiple features beginning with "d".
Thanks Alexandru for explaining the feature and crimeprophet for testing out the situation. Participating in the Grupo Bimbo challenge has helped us revisit an interesting feature of R.
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "129203": "Is it that the column names in R are limited by a maximum length?\r\nWhen I am trying to access the entries of a column which are 0, I am getting the same answer even without entering the entire column name, i.e. using PredDemand, PredDeman, PredDema, etc.\r\nPlease see the screenshot below:\r\n\r\nWhy is this happening?\r\n\r\nThanks.", "129208": "Without knowing more, I can guess the following: you are low on memory either because of the total amount of RAM in your machine, or because your current session has a lot of objects already there. Clean up the workspace a bit and try again.", "129210": "Oh. There are a lot of objects in memory, but sufficient memory is free as well.\r\nIn any case, df$Thisisavariable should not be equal to df$Thisisa or df$Thisisavaria.\r\nIsn't it?", "129325": "Looks like a feature to me. I just tested and R will let you use a partial variable name as long as it can be resolved to a unique field. If it can't, it will return NULL. Never noticed that before - thanks!", "129449": "Yep, it's a \"convenience\" feature, nothing to do with memory allocation. As long as there is a unique feature name that starts with your partial name R will return that feature.\r\n\r\nSo for example `mtcars$dr == mtcars$drat` and `mtcars$di == mtcars$disp` are true. \r\n However `mtcars$d` returns `NULL` since there are multiple features beginning with \"d\".", "129515": "Thanks Alexandru for explaining the feature and crimeprophet for testing out the situation. Participating in the Grupo Bimbo challenge has helped us revisit an interesting feature of R." }, "source": "meta" }