pv_validate: Validate parsed Perana Volleyball scouting data
In raymondben/peranavolley: Perana Sports Volleyball Files
Description
Usage
Arguments
Value
See Also
Examples
Description
Validate parsed Perana Volleyball scouting data
Usage
1
pv_validate(x, validation_level = 2)
Arguments
x
peranavolley: peranavolley object as returned by pv_read
validation_level
numeric: how strictly to check? If 0, perform no checking; if 1, only identify major errors; if 2, also return any issues that are likely to lead to misinterpretation of data; if 3, return all issues (including minor issues)
Value
data.frame with columns message (the validation message), file_line_number (the corresponding line number in the file), video_time, and file_line (the actual line from the file).
See Also
Examples
1
2
3
filename <- pv_example_file()
x <- pv_read(filename)
pv_validate(x)
raymondben/peranavolley documentation built on Dec. 26, 2021, 1:16 a.m.
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Description Usage Arguments Value See Also Examples
Description
Validate parsed Perana Volleyball scouting data
Usage
1 | pv_validate(x, validation_level = 2)
|
Arguments
x |
peranavolley: peranavolley object as returned by |
validation_level |
numeric: how strictly to check? If 0, perform no checking; if 1, only identify major errors; if 2, also return any issues that are likely to lead to misinterpretation of data; if 3, return all issues (including minor issues) |
Value
data.frame with columns message (the validation message), file_line_number (the corresponding line number in the file), video_time, and file_line (the actual line from the file).
See Also
Examples
1 2 3 | filename <- pv_example_file()
x <- pv_read(filename)
pv_validate(x)
|
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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