Last updated: 2018-05-12

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Correlated null

Expand here to see past versions of unnamed-chunk-1-1.png:
Version Author Date
e15c3cc LSun 2017-12-08

FDR & Power

No id variables; using all as measure variables

Expand here to see past versions of FDP 1-1.png:
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225a852 LSun 2018-04-20
e15c3cc LSun 2017-12-08 
No id variables; using all as measure variables

Expand here to see past versions of power 1-1.png:
Version Author Date
225a852 LSun 2018-04-20
e15c3cc LSun 2017-12-08 
No id variables; using all as measure variables

Expand here to see past versions of FDP 2-1.png:
Version Author Date
225a852 LSun 2018-04-20
e15c3cc LSun 2017-12-08 
No id variables; using all as measure variables

Expand here to see past versions of power 2-1.png:
Version Author Date
225a852 LSun 2018-04-20
e15c3cc LSun 2017-12-08

Deconvolution

Expand here to see past versions of deconv plot-1.png:
Version Author Date
e15c3cc LSun 2017-12-08

Corr vs Indep

The following plots show that although the performance of CASH is not ideal for the more sparse case (\(\pi_0 = 0.9\)), it gives results under correlation similar to what other methods give under independence.

Expand here to see past versions of FDP 3-1.png:
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d3b94b3 LSun 2017-12-08

Expand here to see past versions of power 3-1.png:
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225a852 LSun 2018-04-20
d3b94b3 LSun 2017-12-08

Peculiarities of correlation

Expand here to see past versions of unnamed-chunk-2-1.png:
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225a852 LSun 2018-04-20
d3b94b3 LSun 2017-12-08
e15c3cc LSun 2017-12-08

Session information

sessionInfo()
R version 3.4.3 (2017-11-30)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.4

Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] ggplot2_2.2.1     reshape2_1.4.3    edgeR_3.20.2     
 [4] limma_3.34.4      ashr_2.2-2        Rmosek_8.0.69    
 [7] PolynomF_1.0-1    CVXR_0.95         REBayes_1.2      
[10] Matrix_1.2-12     SQUAREM_2017.10-1 EQL_1.0-0        
[13] ttutils_1.0-1    

loaded via a namespace (and not attached):
 [1] gmp_0.5-13.1      Rcpp_0.12.16      pillar_1.0.1     
 [4] plyr_1.8.4        compiler_3.4.3    git2r_0.21.0     
 [7] workflowr_1.0.1   R.methodsS3_1.7.1 R.utils_2.6.0    
[10] iterators_1.0.9   tools_3.4.3       digest_0.6.15    
[13] bit_1.1-12        tibble_1.4.1      gtable_0.2.0     
[16] evaluate_0.10.1   lattice_0.20-35   rlang_0.1.6      
[19] foreach_1.4.4     yaml_2.1.18       parallel_3.4.3   
[22] Rmpfr_0.6-1       ECOSolveR_0.4     stringr_1.3.0    
[25] knitr_1.20        locfit_1.5-9.1    rprojroot_1.3-2  
[28] bit64_0.9-7       grid_3.4.3        R6_2.2.2         
[31] rmarkdown_1.9     magrittr_1.5      whisker_0.3-2    
[34] scales_0.5.0      MASS_7.3-47       backports_1.1.2  
[37] codetools_0.2-15  htmltools_0.3.6   scs_1.1-1        
[40] colorspace_1.3-2  labeling_0.3      stringi_1.1.6    
[43] lazyeval_0.2.1    munsell_0.4.3     pscl_1.5.2       
[46] doParallel_1.0.11 truncnorm_1.0-7   R.oo_1.21.0

This reproducible R Markdown analysis was created with workflowr 1.0.1