Description Usage Arguments Details Value Note Author(s) References See Also Examples
View source: R/permute_pointwiseT.R
Permutation test between two sets of curves using T-type test statistic
| 1 2 | permute_pointwiseT(Mat1, Mat2, Nperm = 200, argvals, q = 0.05, 
                   returnPlot = TRUE, TitleText = "")
 | 
| Mat1 | Matrix 1 with each column being the discretized version of a separate curve | 
| Mat2 | Matrix 2 with each column being the discretized version of a separate curve | 
| Nperm | Number of permutations. Default 200 | 
| argvals | The abscissa, the x-axis or the time-axis. The length of this should be the same as the number of rows of Mat1 and Mat2 | 
| q | 0.05 or an appropriate α level | 
| returnPlot | Whether to return the permutation distribution plot | 
| TitleText | A text intended to be appended to ggtitle | 
This is the permutation test, testing the hypothesis H_0: F_{Y_1} = F_{Y_2}
| pval  | p-value of the permutation test | 
| qval  | q-value of the permutation test | 
| Tobs  | Observed value of the test statistic | 
| Tvals  | Observed pointwise values of T, along the argvals | 
| Tnull  | Null distribution of the test statistic | 
| Tnullvals  | Observed pointwise values of T, along the argvals, for all permutations | 
| qvals.pts  | Pointwise q-value, along the argvals | 
| pvals.pts  | Pointwise p-value, along the argvals | 
| TPlot  | Plot of Tobs in the Tnull distribution | 
| Plot_pval  | Plot of pointwise p-values, along the argvals | 
This is an adaptation of the function fda::tperm.fd. The theory was first described in book mentioned in the references.
Subhrangshu Nandi; Statistics PhD student, UW Madison; snandi@wisc.edu or nands31@gmail.com
Graves, S., Hooker, G., & Ramsay, J. (2009). Functional data analysis with R and MATLAB. (Sec 10.5.1)
fda::tperm.fd
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data( growth, package = 'fda' )
Mat1 <- growth[['hgtm']]
Mat2 <- growth[['hgtf']]
Arguments <- growth[['age']]
PermTestResults <- permute_pointwiseT(
  Mat1 = Mat1, 
  Mat2 = Mat2, 
  Nperm = 200,
  argvals = Arguments,
  q = 0.05,
  returnPlot = TRUE,
  TitleText = 'Growths of boys and girls (Berkeley growth data)'
)
names(PermTestResults)
 | 
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