[英]corrplot:corrplot function in R panelled plots
我想創建一個包含由 corrplot() 創建的不同相關圖的圖形。 為此,一旦我創建了圖,我將它們分配給一個變量並將它們與 ggpubr:ggarrange() 對齊,但是創建的單個變量的內容為 NULL,並且當齒輪范圍(正確)創建圖形時,內容為空.
library(corrplot)
library(psych)
library(ggpubr)
data(iris)
res_pearson.c_setosa<-iris%>%
filter(Species=="setosa")%>%
select(Sepal.Length:Petal.Width)%>%
corr.test(., y = NULL, use = "complete",method="pearson",adjust="bonferroni", alpha=.05,ci=TRUE,minlength=5)
corr.a<-corrplot(res_pearson.c_setosa$r[,1:3],
type="lower",
order="original",
p.mat = res_pearson.c_setosa$p[,1:3],
sig.level = 0.05,
insig = "blank",
col=col4(10),
tl.pos = "ld",
tl.cex = .8,
tl.srt=45,
tl.col = "black",
cl.cex = .8)+
my.theme
res_pearson.c_virginica<-iris%>%
filter(Species=="virginica")%>%
select(Sepal.Length:Petal.Width)%>%
corr.test(., y = NULL, use = "complete",method="pearson",adjust="bonferroni", alpha=.05,ci=TRUE,minlength=5)
corr.b<-corrplot(res_pearson.c_virginica$r[,1:3],
type="lower",
order="original",
p.mat = res_pearson.c_virginica$p[,1:3],
sig.level = 0.05,
insig = "blank",
col=col4(10),
tl.pos = "ld",
tl.cex = .8,
tl.srt=45,
tl.col = "black",
cl.cex = .8)+
my.theme
ggarrange(corr.a, corr.b,
common.legend = TRUE,
legend = "bottom",
ncol = 9, nrow = 1)
在網上搜索了幾次之后,似乎這是第一次有人嘗試創建具有多個相關圖的圖形。
您可以使用此代碼par(mfrow=c(1,2))
並排繪制圖形,如下所示:
library(corrplot)
library(psych)
library(ggpubr)
library(dplyr)
data(iris)
res_pearson.c_setosa<-iris%>%
filter(Species=="setosa")%>%
select(Sepal.Length:Petal.Width)%>%
corr.test(., y = NULL, use = "complete",method="pearson",adjust="bonferroni", alpha=.05,ci=TRUE,minlength=5)
par(mfrow=c(1,2))
corr.a<-corrplot(res_pearson.c_setosa$r[,1:3],
type="lower",
order="original",
p.mat = res_pearson.c_setosa$p[,1:3],
sig.level = 0.05,
insig = "blank",
#col=col4(10),
tl.pos = "ld",
tl.cex = .8,
tl.srt=45,
tl.col = "black",
cl.cex = .8)
res_pearson.c_virginica<-iris%>%
filter(Species=="virginica")%>%
select(Sepal.Length:Petal.Width)%>%
corr.test(., y = NULL, use = "complete",method="pearson",adjust="bonferroni", alpha=.05,ci=TRUE,minlength=5)
corr.b<-corrplot(res_pearson.c_virginica$r[,1:3],
type="lower",
order="original",
p.mat = res_pearson.c_virginica$p[,1:3],
sig.level = 0.05,
insig = "blank",
#col=col4(10),
tl.pos = "ld",
tl.cex = .8,
tl.srt=45,
tl.col = "black",
cl.cex = .8)
由reprex 包(v2.0.1) 於 2022-07-13 創建
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.