imageAreaNormalised: Get the factors required to scale the images to an area of...
In CulturalAnalytics: Functions for statistical analysis and plotting of image properties
Description
Usage
Arguments
Value
Examples
Description
Calcluate the factors required to scale each image so that it has an
area of 1.0 . This is useful for trying to use the areas of
differently proportioned images to indicate values. The resulting
values can be used as cex arguments.
Usage
1
Arguments
images
The images to generate the scale factors for.
Value
The scale factors required to scale the images to an area of 1.0 .
Examples
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library(CulturalAnalytics)
library(jpeg)
# Get the images
imgdir<-paste(system.file(package = "CulturalAnalytics"), "images", sep = "/")
dirimgs<-paste(imgdir, dir(path = imgdir, pattern = ".jpg"), sep = "/")
imgs<-lapply(dirimgs, function(imgpath){readJPEG(imgpath)})
# Calculate the scale factors required to draw them sized 1.0 each
imageAreaNormalised(imgs)
CulturalAnalytics documentation built on May 2, 2019, 5:24 p.m.
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Description Usage Arguments Value Examples
Description
Calcluate the factors required to scale each image so that it has an area of 1.0 . This is useful for trying to use the areas of differently proportioned images to indicate values. The resulting values can be used as cex arguments.
Usage
1 |
Arguments
images |
The images to generate the scale factors for. |
Value
The scale factors required to scale the images to an area of 1.0 .
Examples
1 2 3 4 5 6 7 8 9 10 11 | library(CulturalAnalytics)
library(jpeg)
# Get the images
imgdir<-paste(system.file(package = "CulturalAnalytics"), "images", sep = "/")
dirimgs<-paste(imgdir, dir(path = imgdir, pattern = ".jpg"), sep = "/")
imgs<-lapply(dirimgs, function(imgpath){readJPEG(imgpath)})
# Calculate the scale factors required to draw them sized 1.0 each
imageAreaNormalised(imgs)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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