bootSummary2 {generalCorr}

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

Description

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)

Usage

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

Value

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.

Author(s)

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

References

Vinod, H. D. 'Generalized Correlation and Kernel Causality with Applications in Development Economics' in Communications in Statistics -Simulation and Computation, 2015, 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.

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)