CPA_async <- value(f) -#> Connecting to Julia TCP server at localhost:11982 ... +#> Connecting to Julia TCP server at localhost:11980 ... #> ℹ Detecting empirical clusters and calculating cluster-mass statistics. -#> ✔ Detecting empirical clusters and calculating cluster-mass statistics. [57ms] +#> ✔ Detecting empirical clusters and calculating cluster-mass statistics. [65ms] #> #> ℹ Sampling cluster-mass statistics from a bootstrapped null distribution. #> ✔ Sampling cluster-mass statistics from a bootstrapped null distribution. [1.2s] diff --git a/docs/articles/deCarvalho-et-al-2021.html b/docs/articles/deCarvalho-et-al-2021.html index 51117ce..77b865b 100644 --- a/docs/articles/deCarvalho-et-al-2021.html +++ b/docs/articles/deCarvalho-et-al-2021.html @@ -35,7 +35,7 @@ jlmerclusterperm - 1.1.2 + 1.1.3 diff --git a/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7-1.png b/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7-1.png index 95902b2..45973c5 100644 Binary files a/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7-1.png and b/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7-1.png differ diff --git a/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7B-1.png b/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7B-1.png index b32f8b9..47c2b44 100644 Binary files a/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7B-1.png and b/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7B-1.png differ diff --git a/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7C-1.png b/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7C-1.png index 658a8d9..37764fc 100644 Binary files a/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7C-1.png and b/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7C-1.png differ diff --git a/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7D-1.png b/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7D-1.png index c761dd8..75ebf7c 100644 Binary files a/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7D-1.png and b/docs/articles/deCarvalho-et-al-2021_files/figure-html/fig7D-1.png differ diff --git a/docs/articles/deCarvalho-et-al-2021_files/figure-html/helm-annotated-plot-1.png b/docs/articles/deCarvalho-et-al-2021_files/figure-html/helm-annotated-plot-1.png index 13aeb1f..4ff2f72 100644 Binary files a/docs/articles/deCarvalho-et-al-2021_files/figure-html/helm-annotated-plot-1.png and b/docs/articles/deCarvalho-et-al-2021_files/figure-html/helm-annotated-plot-1.png differ diff --git a/docs/articles/eyetrackingR-comparison.html b/docs/articles/eyetrackingR-comparison.html index f0ad55e..a286eae 100644 --- a/docs/articles/eyetrackingR-comparison.html +++ b/docs/articles/eyetrackingR-comparison.html @@ -35,7 +35,7 @@ jlmerclusterperm - 1.1.2 + 1.1.3 @@ -231,8 +231,10 @@ Setup plot(response_time, predictor_column = "Target") + theme_light() + coord_cartesian(ylim = c(0, 1)) -#> Warning: Removed 37 rows containing non-finite values (`stat_summary()`). -#> Removed 37 rows containing non-finite values (`stat_summary()`).
{eyetrackingR}
This simulates a null distribution of cluster-mass statistics. The output, when printed, is essentially the output of summary(df_timeclust) with p-values (the @@ -332,7 +334,7 @@
summary(df_timeclust)
{jlmerclusterperm}
In {jlmerclusterpm}, CPA can also be conducted in two steps:
{jlmerclusterpm}
The same kinds of information are returned:
cpa @@ -473,7 +475,7 @@ Performanceclusterpermute(spec, threshold = threshold_t, nsim = 1000) }) #> user system elapsed -#> 0.04 0.05 3.11
While eyetrackingR does have an option for parallelization, it has limited support and is platform dependent. In contrast, jlmerclusterperm leverages Julia’s built-in @@ -484,14 +486,14 @@
10,000 simulations with 7 threads:
system.time({ clusterpermute(spec, threshold = threshold_t, nsim = 10000) }) #> user system elapsed -#> 0.05 0.05 37.13
Choe J (2024). jlmerclusterperm: Cluster-Based Permutation Analysis for Densely Sampled Time Data. -https://github.com/yjunechoe/jlmerclusterperm, -https://yjunechoe.github.io/jlmerclusterperm/. +R package version 1.1.3, +https://yjunechoe.github.io/jlmerclusterperm/, https://github.com/yjunechoe/jlmerclusterperm.
@Manual{, title = {jlmerclusterperm: Cluster-Based Permutation Analysis for Densely Sampled Time Data}, author = {June Choe}, year = {2024}, - note = {https://github.com/yjunechoe/jlmerclusterperm, + note = {R package version 1.1.3, https://yjunechoe.github.io/jlmerclusterperm/}, + url = {https://github.com/yjunechoe/jlmerclusterperm}, }