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Convert data. frame column format from character to factor The complete conversion of every character variable to factor usually happens when reading in data, e g , with stringsAsFactors = TRUE, but this is useful when say, you've read data in with read_excel() from the readxl package and want to train a random forest model that doesn't accept character variables
Okta API: SMS Multi-factor Issue - Stack Overflow I'm attempting to use the Okta API in a web application to allow users to activate deactivate a SMS MFA factor on their accounts However, I'm running into an issue as detailed below: First, on a
when to use factor () when plotting with ggplot in R? Is the general rule to use factor when the variable being used to determine the shape size colour is discrete, and not continuous? Or is there another use of factor in this context? It seems like the first command can be made like the second with the right legend, even without factor thanks edit: I get this when I use the colour=gear:
When or why convert a numeric variable to factor? - Stack Overflow 0 I generally only convert a variable to a factor if one or more of the following are true: the values of the variable represent some form of grouping, i e the variable is categorical in nature there are substantial memory savings to be had - this is usually the case where character variables have been used to identify group levels
r - Convert factor to integer in a data frame - Stack Overflow This will work for a data frame that contains only numeric, integer, factor or other variables that can be coerced to numeric, but any character strings (character) will cause the matrix to become a character matrix
as. factor() in numeric conversion R - Stack Overflow But conversion from factor to a character strips out the letters that make up the factor Then conversion from character to numeric turns number characters to actual numbers
Example to use scale_factor and add_offset in netCDF4 with Python? If you want to know how to use add_offset and scale_factor parameters to pack or unpack data in nc file, you can read here When you read netCDF4 file with python (download NCEP reanalysis I data for example), you can reference following code: