Description Usage Arguments Details Value Author(s)
Helper functions not exported for users.
| 1 2 3 4 5 6 | str_strip.white(string, sub = " ")
str_proper(string)
str_remove.nonascii(string, sub = "")
str_remove(string, start = 1L, end = -1L, sub = "")
detect.normality.outliers(x,alpha=0.05)
scale.for.ranks(type = 1, base = 2, silent = TRUE, str.disp.mult=1)
 | 
| string | A character vector. | 
| start, end | Location of where to start and end for removing characters. | 
| x | A vector of numbers | 
| alpha | A significance level. | 
| type | Type of scale. | 
| sub | What to replace the removed characters with. | 
| base | The base to which to scale the total strength. By default it is base(2). You want this to match the base used in your print call. | 
| silent | Whether to output the scale to the console (silent=FALSE). | 
| str.disp.mult | Multiply the strength numbers in the column names by this number. | 
str_strip.white strips ending and internal extra white space.
str_proper does proper capitalization.
str_remove.nonascii remove non-ascii characters from strings.
str_remove remove characters from strings.  Like sub but removes the specified characters between start and end.  
detect.normality.outliers detects the values that violate normality to a particular alpha level.  
scale.for.ranks prints a scale for fbRanks ratings. 
str_strip.white returns a vector with the extra white space striped.
detect.normality.outliers returns a vector of TRUE, FALSE values.
scale.for.ranks will return the simulations used to construct the scale if the output is assigned to a variable.
team.name.select calls up a GUI that allows the user to select the team name from a list or input a new team name.
Eli Holmes, Seattle, USA.
eeholmes(at)u(dot)washington(dot)com
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