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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