diff --git a/README.html b/README.html index d4b7b38..b310308 100644 --- a/README.html +++ b/README.html @@ -606,7 +606,7 @@

ICIKendallTau

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ICIKendallTau status badge

+

ICIKendallTau status badge

You can see the pkgdown site here.

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Is It Fast?

) #> Unit: microseconds #> expr min lq mean median -#> cor(x, y, method = "kendall") 13191.399 13608.067 13688.8872 13773.376 -#> ici_kt(x, y, "global") 337.849 367.467 426.3204 375.616 -#> ici_kt(x2, y2, "global") 20221.147 21001.428 21366.2374 21186.299 +#> cor(x, y, method = "kendall") 12299.117 12617.607 13300.3072 13214.135 +#> ici_kt(x, y, "global") 366.796 370.173 530.6206 401.068 +#> ici_kt(x2, y2, "global") 19343.691 19680.732 20578.4926 19799.741 #> uq max neval -#> 13895.864 13975.730 5 -#> 390.208 660.462 5 -#> 21580.156 22842.157 5 +#> 13767.479 14603.198 5 +#> 405.009 1110.057 5 +#> 20533.946 23534.353 5

In the case of 40,000 features, the average time on a modern CPU is 14 milliseconds.

Of course, if you want to use it to calculate Kendall-tau-b without @@ -758,7 +758,7 @@

Is It Fast?

#> y 0.8716723 0.0000000 #> #> $run_time -#> [1] 0.02046323 +#> [1] 0.02207708

P-Values

ICI-Kt functions only calculates the tau-b variant that handles ties. P-value calculations use the asymptotic approximation in all cases, and @@ -792,7 +792,7 @@

Many Many Comparisons

#> 3 s4 s4 0 1.0000000 0 1.000000 0.950 1.0000000 #> #> $run_time -#> [1] 0.01763749 +#> [1] 0.02029967

Other Correlations

ici_kendalltau and ici_kt calculate the p-value of the correlation as part of the overall calculation. @@ -816,7 +816,7 @@

Other Correlations

#> y 0.8199608 0.0000000 #> #> $run_time -#> [1] 0.02564859 +#> [1] 0.02324367
m_3 = cbind(x, y, x)
 colnames(m_3) = c("s1", "s2", "s3")
 r_6 = cor_fast(m_3)
@@ -834,7 +834,7 @@ 

Other Correlations

#> s3 0.0000000 0.8199608 0.0000000 #> #> $run_time -#> [1] 0.02596617
+#> [1] 0.0229435

Code of Conduct

Please note that the ICIKendallTau project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide diff --git a/README.md b/README.md index 36528c3..575815d 100644 --- a/README.md +++ b/README.md @@ -144,13 +144,13 @@ microbenchmark( ) #> Unit: microseconds #> expr min lq mean median -#> cor(x, y, method = "kendall") 13191.399 13608.067 13688.8872 13773.376 -#> ici_kt(x, y, "global") 337.849 367.467 426.3204 375.616 -#> ici_kt(x2, y2, "global") 20221.147 21001.428 21366.2374 21186.299 +#> cor(x, y, method = "kendall") 12299.117 12617.607 13300.3072 13214.135 +#> ici_kt(x, y, "global") 366.796 370.173 530.6206 401.068 +#> ici_kt(x2, y2, "global") 19343.691 19680.732 20578.4926 19799.741 #> uq max neval -#> 13895.864 13975.730 5 -#> 390.208 660.462 5 -#> 21580.156 22842.157 5 +#> 13767.479 14603.198 5 +#> 405.009 1110.057 5 +#> 20533.946 23534.353 5 ``` In the case of 40,000 features, the average time on a modern CPU is 14 @@ -182,7 +182,7 @@ k_tau_fast #> y 0.8716723 0.0000000 #> #> $run_time -#> [1] 0.02046323 +#> [1] 0.02207708 ``` ## P-Values @@ -227,7 +227,7 @@ r_4 #> 3 s4 s4 0 1.0000000 0 1.000000 0.950 1.0000000 #> #> $run_time -#> [1] 0.01763749 +#> [1] 0.02029967 ``` ## Other Correlations @@ -255,7 +255,7 @@ r_5 #> y 0.8199608 0.0000000 #> #> $run_time -#> [1] 0.02564859 +#> [1] 0.02324367 ``` ``` r @@ -276,7 +276,7 @@ r_6 #> s3 0.0000000 0.8199608 0.0000000 #> #> $run_time -#> [1] 0.02596617 +#> [1] 0.0229435 ``` ## Code of Conduct diff --git a/docs/404.html b/docs/404.html index 763df9a..e6209e3 100644 --- a/docs/404.html +++ b/docs/404.html @@ -7,67 +7,54 @@ Page not found (404) • ICIKendallTau - - - - - + + + + Skip to contents - -