computeAccuracy: Compute mean accuracy as a percentage for each participant in...
In drsimonj/jacksonphd: Data from Simon A Jackson's PhD (2016)
Description
Usage
Arguments
Value
Examples
Description
Compute the mean of all 'a' columns (scored 1 for correct and 0 for
incorrect) for each participant (row) and multiply by 100.
To be called with compute().
Usage
1
computeAccuracy(x, group = c(T), na.rm = TRUE)
Arguments
x
Data frame from phd sample.
group
Logical vector used to return a group of the candidate results.
See ?getCol for details.
na.rm
logical. Should missing values (including NaN) be omitted from the calculations? Default = True
Value
Accuracy vector.
Examples
1
computeAccuracy(phd[[1]]$EA)
drsimonj/jacksonphd documentation built on May 15, 2019, 2:52 p.m.
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Description Usage Arguments Value Examples
Description
Compute the mean of all 'a' columns (scored 1 for correct and 0 for incorrect) for each participant (row) and multiply by 100. To be called with compute().
Usage
1 | computeAccuracy(x, group = c(T), na.rm = TRUE)
|
Arguments
x |
Data frame from phd sample. |
group |
Logical vector used to return a group of the candidate results. See ?getCol for details. |
na.rm |
logical. Should missing values (including NaN) be omitted from the calculations? Default = True |
Value
Accuracy vector.
Examples
1 | computeAccuracy(phd[[1]]$EA)
|
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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