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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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.