process_new_files: process_new_files

Description Usage Arguments Author(s) Examples

View source: R/metaDigitise.R

Description

Batch processes image files within a set directory, consolidates the data and exports the data for each image and type

Usage

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Arguments

dir

the path name to the directory / folder where the files are located

summary

summary = TRUE or FALSE is most relevant as it will print a simple summary statistics that are the same across all files

cex

relative size of points and text in replotting of digitisation.

Author(s)

Joel Pick - joel.l.pick@gmail.com

Daniel Noble - daniel.wa.noble@gmail.com

Examples

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# temporary directory
tmp_dir <- tempdir()

# Simulate data
set.seed(103)
x <- rnorm(20,0,1)
y <- rnorm(20,0,1)
means <- c(mean(x),mean(y))
ses <- c(sd(x)/sqrt(length(x))*1.96, sd(y)/sqrt(length(y))*1.96)

#Generate mock mean error plot
png(filename = paste0(tmp_dir,"/mean_error.png"), width = 480, height = 480)
plot(means, ylim = c(min(means-ses)-0.1,max(means+ses)+0.1), xlim=c(0.5,2.5), 
xaxt="n", pch=19, cex=2, ylab="Variable +/- SE", xlab="Treatment", main="Mean Error")
arrows(1:length(means),means+ses, 1:length(means), means-ses, code=3, angle=90, length=0.1)
axis(1,1:length(means),names(means))
dev.off()

## Not run: 
#metaDigitise figures
	data <- process_new_files(paste0(tmp_dir, "/"), summary = TRUE, cex = 2)

## End(Not run)

metaDigitise documentation built on March 13, 2020, 9:09 a.m.