install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
gtoolsinstall.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
subsetEMGsubsetEMGCITATION filessynsNMF now saves the synergy-vs-quality data.install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
goodpractice::gp() suggestions (thanks @fabian_s for the
hint!)classify_kmeans,
synsNMF, subsetEMG, sMLE,
normEMG, Hurst, HFD,
filtEMG, plot_classified_syns_UMAP,
plot_meanEMG, plot_rawEMG.install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
classify_kmeans,
HFD and Hurstclassify_kmeans.install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
install.packages("devtools")
devtools::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
install.packages("devtools")
library(devtools)
install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
emg data frame row names in
RAW_DATA listrawdata can now handle RData files saved with
save().install.packages("devtools")
library(devtools)
install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
install.packages("devtools")
library(devtools)
install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
normEMG function.install.packages("musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
classify_NMF function.install.packages("musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
install.packages("musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
musclesyneRgies is on CRAN!test-CoA.R to pass on M1mac and
noLD.install.packages("devtools")
library(devtools)
install_github("alesantuz/musclesyneRgies")
Follow the README for a breakdown of the typical workflow.
NEWS.md to track changes to the packageplot_rawEMG can now plot muscle activities in
custom grid (arguments row_number and
col_number)plot_rawEMG (arguments line_size and
line_col)plot_rawEMG,
plot_meanEMG, plot_syn_trials and
plot_classified_synsplot_syn_trials partially rewritten with new
native pipes |> and lapply instead of for
loopsREADMECITATION.cff using R package
cffrgtable
objects rather tan saving to fileworkflow, plots,
analysis and pro_tips).install.packages("devtools")
library(devtools)
install_github("alesantuz/musclesyneRgies")
Follow the README for a breakdown of the typical workflow.
filtEMG if needed
with rectif = "none"plot_rawEMG and plot_meanEMG
partially rewritten with new native pipes |> and
lapply instead of for loopssynsNMF that didn’t L2-normalise
M and P in iteration “zero”.install.packages("devtools")
library(devtools)
install_github("alesantuz/musclesyneRgies")
sMLEsynsNMF is now 1.5-2x
fasterfiltEMG that didn’t allow to avoid
low-pass filtering if needed.v1.0.0 coming soon with function for calculating the short-term maximum Lyapunov exponents of motor primitives.
subsetEMG and
normEMG when cycle times are given as data frames.musclesyneRgies is now a R package. Follow the README
for a breakdown of the typical workflow. This is the first release,
still in beta.UMAP details: McInnes, Leland, John Healy, and James Melville. “Umap: Uniform manifold approximation and projection for dimension reduction.” arXiv preprint arXiv:1802.03426 (2018).
R-package: https://cran.r-project.org/web/packages/umap/
raw_pl (see line 133) seconds of the trial are considered
for plots.musclesyneRgies