bootSummary2 function

Compute usual summary stats of 'sum' index in (-100, 100) from bootPair2

Compute usual summary stats of 'sum' index in (-100, 100) from bootPair2

The 2' in the name of the function suggests a second implementation where exact stochastic dominance, decileVote and momentVote are used. Begin with the output of bootPairs function, a (n999 by p-1) matrix when there are p columns of data, bootSummary` produces a (6 by p-1) mtx of summary of bootstrap ouput (Min, 1st Qu,Median, Mean, 3rd Qi.,Max)

bootSummary2(out, per100 = TRUE)

Arguments

  • out: output from bootPair2 with p-1 columns and n999 rows in input here
  • per100: logical (default per100=TRUE) to change the range of 'sum' to [-100, 100] values which are easier to interpret

Returns

summ a summary matrix (n999 by p-1) having usual parameters using the output of bootPair2(mtx)

Each containing resampled sum' values summarizing the weighted sums associated with all three criteria from the function silentPair2(mtx)`

applied to each bootstrap sample separately.

Examples

## Not run: options(np.messages = FALSE) set.seed(34);x=sample(1:10);y=sample(2:11) bb=bootPair2(cbind(x,y),n999=29) bootSummary2(bb) #gives summary stats for n999 bootstrap sum computations bb=bootPair2(airquality,n999=999);options(np.messages=FALSE) bootSummary2(bb)#signs for n999 bootstrap sum computations data('EuroCrime') attach(EuroCrime) bb=bootPair2(cbind(crim,off),n999=29) #col.1= crim causes off #hence positive signs are more intuitively meaningful. #note that n999=29 is too small for real problems, chosen for quickness here. bootSummary2(bb)#signs for n999 bootstrap sum computations ## End(Not run)

References

Vinod, H. D. `Generalized Correlation and Kernel Causality with Applications in Development Economics' in Communications in Statistics -Simulation and Computation, 2015, tools:::Rd_expr_doi("10.1080/03610918.2015.1122048")

Vinod, H. D. and Lopez-de-Lacalle, J. (2009). 'Maximum entropy bootstrap for time series: The meboot R package.' Journal of Statistical Software, Vol. 29(5), pp. 1-19.

Vinod, H. D. Causal Paths and Exogeneity Tests in Generalcorr Package for Air Pollution and Monetary Policy (June 6, 2017). Available at SSRN: https://www.ssrn.com/abstract=2982128

See Also

See Also silentPairs.

Author(s)

Prof. H. D. Vinod, Economics Dept., Fordham University, NY

  • Maintainer: H. D. Vinod
  • License: GPL (>= 2)
  • Last published: 2023-10-09

Useful links