Package: gaussplotR 0.2.6

gaussplotR: Fit, Predict and Plot 2D Gaussians

Functions to fit two-dimensional Gaussian functions, predict values from fits, and produce plots of predicted data via either 'ggplot2' or base R plotting.

Authors:Vikram B. Baliga [aut, cre, cph]

gaussplotR_0.2.6.tar.gz
gaussplotR_0.2.6.zip(r-4.5)gaussplotR_0.2.6.zip(r-4.4)gaussplotR_0.2.6.zip(r-4.3)
gaussplotR_0.2.6.tgz(r-4.4-any)gaussplotR_0.2.6.tgz(r-4.3-any)
gaussplotR_0.2.6.tar.gz(r-4.5-noble)gaussplotR_0.2.6.tar.gz(r-4.4-noble)
gaussplotR_0.2.6.tgz(r-4.4-emscripten)gaussplotR_0.2.6.tgz(r-4.3-emscripten)
gaussplotR.pdf |gaussplotR.html✨
gaussplotR/json (API)
NEWS

# Install 'gaussplotR' in R:

install.packages('gaussplotR', repos = c('https://vbaliga.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vbaliga/gaussplotr/issues

Datasets:

gaussplot_sample_data - Sample data set

On CRAN:

2d-gaussian gaussian gaussian-fit gaussian-interpolation gaussian-plot gaussian-volume plotting

5.10 score 4 stars 21 scripts 213 downloads 8 exports 77 dependencies

Last updated 3 years agofrom:632de7cf2c. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 12 2024
R-4.5-win	NOTE	Oct 12 2024
R-4.5-linux	NOTE	Oct 12 2024
R-4.4-win	NOTE	Oct 12 2024
R-4.4-mac	NOTE	Oct 12 2024
R-4.3-win	OK	Oct 12 2024
R-4.3-mac	OK	Oct 12 2024

Exports:autofit_gaussian_2D characterize_gaussian_fits compare_gaussian_fits fit_gaussian_2D get_volume_gaussian_2D ggplot_gaussian_2D predict_gaussian_2D rgl_gaussian_2D

Dependencies:backports base64enc bslib cachem checkmate class classInt cli colorspace cpp11 data.table DBI digest e1071 evaluate fansi farver fastmap fontawesome Formula formula.tools fs generics ggplot2 glue gtable highr htmltools htmlwidgets isoband jquerylib jsonlite KernSmooth knitr labeling lattice lifecycle lubridate magrittr MASS Matrix memoise metR mgcv mime munsell nlme operator.tools pillar pkgconfig plyr proxy purrr R6 rappdirs RColorBrewer Rcpp rgl rlang rmarkdown s2 sass scales sf stringi stringr tibble timechange tinytex units utf8 vctrs viridisLite withr wk xfun yaml

Fitting 2D-Gaussians to Data

Vikram B. Baliga

Rendered fromfit_gaussian_2D.Rmdusingknitr::rmarkdownon Oct 12 2024.

Last update: 2021-04-06
Started: 2020-11-28

Formulas used by fit_gaussian_2D

Rendered fromformulas-used-by-fit-gaussian-2D.Rmdusingknitr::rmarkdownon Oct 12 2024.

Last update: 2021-03-19
Started: 2020-11-30

Troubleshooting model fits

Vikram B. Baliga

Rendered fromtroubleshooting-model-fits.Rmdusingknitr::rmarkdownon Oct 12 2024.

Last update: 2021-01-31
Started: 2021-01-01

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Automatically determine the best-fitting 2D-Gaussian for a data set	autofit_gaussian_2D
Characterize the orientation of fitted 2D-Gaussians	characterize_gaussian_fits
Compare fitted 2D-Gaussians and determine the best-fitting model	compare_gaussian_fits
Determine the best-fit parameters for a specific 2D-Gaussian model	fit_gaussian_2D
Sample data set	gaussplot_sample_data
Compute volume under 2D-Gaussian	get_volume_gaussian_2D
Plot a 2D-Gaussian via ggplot	ggplot_gaussian_2D
Predict values from a fitted 2D-Gaussian	predict_gaussian_2D
Produce a 3D plot of the 2D-Gaussian via rgl	rgl_gaussian_2D