visustat_summary: visustat_summary

In grrchrr/VisuStatR: Visualizing Statistics on Images in R

visustat_summary

Description

With visustat_summary, time-resolved summary statistics are calculated. In correspondence to visustat_frame continuous and discrete parameters can be mapped individually on color and shape. In addition, the population mean and either standard deviations, confidence intervals or standard errors for respective statistics can be displayed as facetted ribbon plots.

Usage

visustat_summary(df, ...)

Arguments

df	dataframe of the form: df(track, time, X, Y, mapping_parameters, ...)
frame	integer: frame to be mapped
time.unit	character: time unit
tracks	vector: defining tracks to be displayed
par.map	character: specifying parameter in df to be visualized by color
par.shape	character: specifying parameter in df to be mapped on shape
ribbon	logical: display ribbon
ribbon.stat	character: choose ribbon-statistic: 'sd': standard deviation, 'se': standard error, 'ci': confidence interval
line.size	numeric: size of lines
line.alpha	numeric: transparency of lines
line.length	numeric: length of lines (in frames)
points.size	numeric: size of points
points.alpha	numeric: transparency of points
points.shape	numeric: set shape from ggplot2 shape palette
unit	character: setting name of unit; default: 'px'

Examples

data(hiv_motility)
visustat_summary(hiv_motility %>% na.omit(), par.map="speed", tracks=c(48, 66, 102, 108))

grrchrr/VisuStatR documentation built on April 25, 2022, 11:30 a.m.