install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
gtools
install.packages("remotes")
remotes::install_github("alesantuz/musclesyneRgies")
README and vignettes are available both on CRAN and on GitHub.
subsetEMG
subsetEMG
CITATION
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 Hurst
classify_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_syns
plot_syn_trials
partially rewritten with new
native pipes |>
and lapply
instead of for
loopsREADME
CITATION.cff
using R package
cffr
gtable
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")
sMLE
synsNMF
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