shinyCell: Filtrar cdata usando gráficos y dibujando regiones

In gerbeldo/tidycell: CellID Data Analysis Inside the Tidyverse

Filtrar cdata usando gráficos y dibujando regiones

Description

Filtrar cdata usando gráficos y dibujando regiones

Usage

shinyCell(
  cdata,
  pdata,
  paths,
  filters = list(),
  filters.init_selected = T,
  plotType = "Dots",
  seed = 1,
  initial_facet = "",
  initial_vars = NULL,
  facet_grid_option = TRUE,
  facets_scale_free = "fixed",
  n_max = 100,
  boxSize = 80,
  filter_progress_file = NULL,
  launch.browser = F,
  ...
)

Arguments

cdata	A Rcell "cdata" data.frame (not the object).
pdata	A "pdata" data.frame with position metadata.
paths	Paths a la imagen de cada posición.
filters	Vector de strings con los filtros. c() by default.
plotType	"Hex", "Density", and "Dots" are available.
seed	Seed value for sampling of cell images.
initial_facet	Initial facet formula as a string.
initial_vars	Initial cdata variables as a string vector (default NULL, for 'a.tot' and 'fft.stat').
facet_grid_option	Use facet_grid (TRUE, default) or facet_wrap.
facets_scale_free	Use facets with fixed scales (NULL, default) or free scales ("free").
boxSize	Size in pixels for individual cells' images.
filter_progress_file	Save filtering progress to an RDS file. FALSE (default) disables this feature. Set to NULL to let tempfile() choose a path for the RDS, or set to a valid path of your choice.
launch.browser	Set to 'firefox' or equivalent to launch the app in-browser (FALSE by default). Useful when launching fails with error Error in utils::browseURL(appUrl) or similar.
...	Further arguments passed to magickCell()

Value

Lots of stuff.

Examples

path <- "/mac/apesta/trololololol/"

cell.data <- rcell2::cell.load.alt(path = path)

image.paths <- cell.data$d.paths  # image.paths <- rcell2::magickPaths(cell.data)

pdata <- read_tsv(paste0(path, "pdata.csv"))

cdata <- left_join(cell.data$d, pdata)

rcell2::shinyCell(cdata = cdata, 
                  pdata = pdata, 
                  paths = cell.data$d.paths, 
                  n_max = 5^2, 
                  boxSize = 100)

gerbeldo/tidycell documentation built on Aug. 15, 2022, 2:35 p.m.