Categorizing range of data
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Hello,
I am using vector coding to analyze coordination patterns during arm reaching, which the values are from 0 to 360. I've used an if statement to attempt to categorize each value along 1:99 normalized time points on variable phsangSE so that I can eventually get a frequency of each category in the new variable coupAng. The return in coupAng is <undefined> on all time points except the last one, which it correctly categorizes. I'm not sure where the issue is in the code, but loops aren't my strongest suit at the moment, so any help is great. Or, if there is a better way to categorize the data I'm all ears.
Thank you in advance!
coupAng = categorical(nan(1,99),1:4,["Proximal Segment Phase","In-Phase","Distal Segment Phase","Anti-Phase"]);%nan(1,99),1:4,
for i = length(phsangSE)
if phsangSE(i) < 22.5 || phsangSE(i) >=157.5 && phsangSE(i) < 202.5 || phsangSE(i) >=337.5 && phsangSE(i) <= 360
coupAng(i) = ["Proximal Segment Phase"];
elseif phsangSE(i) >= 22.5 && phsangSE(i) < 67.5 || phsangSE(i) >= 202.5 && phsangSE(i) < 247.5
coupAng(i) = ["In-Phase"];
elseif phsangSE(i) >= 67.5 && phsangSE(i) < 112.5 || phsangSE(i) >= 247.5 && phsangSE(i) < 292.5
coupAng(i) = ["Distal Segment Phase"];
elseif phsangSE(i) >=112.5 && phsangSE(i) < 157.5 || phsangSE(i) >=292.5 && phsangSE(i) < 337.5
coupAng(i) = ["Anti-Phase"];
end
end
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