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StevenVB12 / patternize

An R package for quantifying color pattern variation
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PCA problem #23

Open jevohna opened 3 years ago

jevohna commented 3 years ago

Im trying to use the pca0ut function on a subsample of my list. I created a new list and use the following code oykelList <- list(oykelsuccess, oykelfail) colList <- c("blue", "orange") symbolList <- c(16,17) pcaOut <- patPCA(rasterList_lanRGB, oykelList, colList, symbolList = symbolList, plot = TRUE)

but it just shows all my data points. this shows the four different categories, and I'm just trying to visualise the blue and orange alone, everythingplot but it comes out like this fail

StevenVB12 commented 3 years ago

Hi,

Have you tried also making a subset of the rasterList_lanRGB that only contains those samples? Otherwise, it will keep those samples and just reuse the symbols and colors until all have a color assigned. If I’m correct...

Steven

From: @.> Sent: Wednesday, July 7, 2021 6:34 AM To: @.> Cc: @.***> Subject: [StevenVB12/patternize] PCA problem (#23)

Im trying to use the pca0ut function on a subsample of my list. I created a new list and use the following code oykelList <- list(oykelsuccess, oykelfail) colList <- c("blue", "orange") symbolList <- c(16,17) pcaOut <- patPCA(rasterList_lanRGB, oykelList, colList, symbolList = symbolList, plot = TRUE)

but it just shows all my data points. this shows the four different categories, and I'm just trying to visualise the blue and orange alone, [everythingplot]https://user-images.githubusercontent.com/81561838/124744791-0705e200-df17-11eb-926e-024f9cfcd5d3.png but it comes out like this [fail]https://user-images.githubusercontent.com/81561838/124744979-3288cc80-df17-11eb-8b96-9f9f79c29c0e.png

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