[英]How would I only include correlation coefficients above .6 in a correlation matrix?
我試圖在R的相關矩陣中僅繪制相關系數大於.6的關系。當前,我正在使用包'corr_test'來運行Pearson Correlation,然后使用'ggcorrplot'來創建矩陣。 如何修改代碼以僅繪制比+.6 /-。6強的相關系數?
下面是我當前的代碼:
##New Pearson Correlation Script##
#Load in the stuff you dont have
install.packages("psych")
install.packages("ggcorrplot")
#Load it up
library("psych")
library("ggcorrplot")
library("ggplot2")
##Load in your datasets, just fill D1 if one matrix, load D2 as well if 2 matrices
D1 =class
D2 =metab
#Run the correlation
test =corr.test(D1, y = D2, use = "complete")
#r is the correlation matrix
r = test$r
#p is the p-values
p = test$p
#plot it out
testplot= ggcorrplot(r, method = "circle" ,lab_size= 0.3, tl.cex = 8, outline.col = "black", tl.col = "black")+
theme(axis.text.y=element_text(size=9),
axis.text.x = element_text(size=9, angle=90))
print(testplot)
單擊此處 (Google雲端硬盤文件),獲取我一直在使用的相關系數的小型數據集。
謝謝!
最后,這很簡單,只需將絕對值低於0.6的所有值都設置為NA
。
r2 <- r # Save a copy in case you need it later
is.na(r) <- abs(r) < 0.6
#plot it out
testplot= ggcorrplot(r, method = "circle" ,lab_size= 0.3, tl.cex = 8, outline.col = "black", tl.col = "black")+
theme(axis.text.y=element_text(size=9),
axis.text.x = element_text(size=9, angle=90))
print(testplot)
r <- r2 # reset
rm(r2) # tidy up
在繪制之前,請基於絕對值大於或等於0.6的子集。
r <- subset(r, abs(r) >= .6)
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