WaldWolftest1s: Performs the Wald-Wolfowitz one sample test of randomness for...
In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.
Description
Usage
Arguments
Value
Constraints
Examples
Description
Performs the Wald-Wolfowitz one sample test of randomness for continuous data.
Usage
1
WaldWolftest1s(vFLvector, threshold = median(vFLvector))
Arguments
threshold
the cut-point to transform the data into a dichotomous vector.
x
a FLVector containing the observations.
Value
A list with class "htest" outputting the corresponding WW statistic and P Values.
Constraints
alternative, plot, pvalue isnt't currently supported for FL objects.
Examples
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## WaldWolfowitz test 1s:
data(sweetpotato)
yield <- as.FLVector(sweetpotato$yield)
WaldWolftest1s(yield)
## Data is transformed into a dichotomous vector according as each values
## is above or below a given threshold. Values equal to the level are
## removed from the sample.
## The default threshold value used in applications is the sample median
## which give us the special case of this test with n1 = n2, the runs test
## above and below the median.
Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.
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Description Usage Arguments Value Constraints Examples
Description
Performs the Wald-Wolfowitz one sample test of randomness for continuous data.
Usage
1 | WaldWolftest1s(vFLvector, threshold = median(vFLvector))
|
Arguments
threshold |
the cut-point to transform the data into a dichotomous vector. |
x |
a FLVector containing the observations. |
Value
A list with class "htest" outputting the corresponding WW statistic and P Values.
Constraints
alternative, plot, pvalue isnt't currently supported for FL objects.
Examples
1 2 3 4 5 6 7 8 9 10 | ## WaldWolfowitz test 1s:
data(sweetpotato)
yield <- as.FLVector(sweetpotato$yield)
WaldWolftest1s(yield)
## Data is transformed into a dichotomous vector according as each values
## is above or below a given threshold. Values equal to the level are
## removed from the sample.
## The default threshold value used in applications is the sample median
## which give us the special case of this test with n1 = n2, the runs test
## above and below the median.
|
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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