parse_NA_values: Parse missing value information from var_info
In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package
Description
Usage
Arguments
Value
Examples
Description
The input is the Missing_Values column in var_info, which must have a length
equal to the number of columns in the data file. This function is for use in
[load_cp_data] to ensure only values expected for each trait are available.
Usage
1
parse_NA_values(missing_values)
Arguments
missing_values
A string containing values that should be recoded as NA
separated by a comma
Value
A vector with the values that represent NA
Examples
1
2
3
# Call parse_NA_values to return a vector of individual proxies for NA
na_values <- parse_NA_values("-1,99,NA")
print(na_values)
MichaelHoltonPrice/yada documentation built on Sept. 19, 2021, 11:27 p.m.
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Description Usage Arguments Value Examples
Description
The input is the Missing_Values column in var_info, which must have a length equal to the number of columns in the data file. This function is for use in [load_cp_data] to ensure only values expected for each trait are available.
Usage
1 | parse_NA_values(missing_values)
|
Arguments
missing_values |
A string containing values that should be recoded as NA separated by a comma |
Value
A vector with the values that represent NA
Examples
1 2 3 | # Call parse_NA_values to return a vector of individual proxies for NA
na_values <- parse_NA_values("-1,99,NA")
print(na_values)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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