knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", fig.width = 6, fig.retina = 3, out.width = "100%" ) Sys.setenv(PATH = paste("/opt/miniconda3/bin", Sys.getenv("PATH"),sep=":"))
This package contains dataset for plotting the Schaefer cortical atlas (version 0.17.1) ggseg and ggseg3d. Now includes sets for the 17 and 7 network atlas, for parcellations 100:1000.
The best experience installing ggsegSchaefer is through the ggseg r-universe:
# Enable this universe options(repos = c( ggseg = 'https://ggseg.r-universe.dev', CRAN = 'https://cloud.r-project.org')) # Install some packages install.packages('ggsegSchaefer')
You can install the released version of ggsegSchaefer from GitHub with:
# install.packages("remotes") remotes::install_github("LCBC-UiO/ggsegSchaefer")
library(ggsegSchaefer) library(ggseg) library(ggseg3d) library(ggplot2) library(dplyr)
dt <- as.data.frame(data(package="ggsegSchaefer")$results, stringsAsFactors = FALSE)
library(patchwork) gg <- dt %>% filter(!grepl("_3d$", Item)) %>% pull(Item) %>% lapply(function(x) plot(get(x), show.legend = FALSE) + ggtitle(x)) wrap_plots(gg, ncol = 1) & theme_brain2()
ggseg3d(atlas = schaefer7_400_3d, surface = "inflated") %>% pan_camera("right lateral")
save3d <- function(data){ p <- ggseg3d(atlas = data, surface = "inflated") %>% pan_camera("right lateral") %>% plotly::add_annotations( text=sprintf("%s\nScreen capture", data), legendtitle=TRUE, showarrow=FALSE, font = list(color = "#000000b4", family = 'sans serif', size = 50)) plotly::orca(p, sprintf("man/figures/README-%s-plot.png", data)) } dt %>% filter(grepl("_3d$", Item)) %>% pull(Item) %>% lapply(save3d)
knitr::include_graphics(list.files("man/figures/", "schaefer", full.names = TRUE))
Please note that the 'ggsegSchaefer' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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