concentration4_pca$process<-factor(concentration4_pca$process) #此处的process是我的第一列标题,$的意思是提取某个参数【自我理解,在某些地方也有别的意思】 concentration4_pca[ , 2:12] <- scale(concentration4_pca[ , 2:12]) #归一化 pca_concentration4
Use corrplot() to create acorrelogram: The functioncorrplot()takes thecorrelation matrixas the first argument. The second argument (type=“upper”) is used to display only the upper triangular of thecorrelation matrix. library(corrplot)corrplot(res,type="upper",ord...
计算相关性矩阵并绘制corrplot R语言被称为最强大的统计语言是因为它具有大量的统计函数可以调用，并且我们...
# Reorder the correlation matrix cormat <- reorder_cormat(cormat) upper_tri <- get_upper_tri(cormat) # Melt the correlation matrix melted_cormat <- melt(upper_tri, na.rm = TRUE) # Create a ggheatmap ggheatmap <- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+ geom_ti...
In Example 5, I’ll demonstrate how to create a correlation matrix for an entire data frame.For this, we first have to create an exemplifying data set:data <- data.frame(x, y, z = rnorm(100)) # Create example data frame head(data) # Print head of example data frame...
http://www.sthda.com/english/wiki/correlation-matrix-a-quick-start-guide-to-analyze-format-and-visualize-a-correlation-matrix-using-r-software#at_pco=smlwn-1.0&at_si=5e8f19ae4cd478e7&at_ab=per-2&at_pos=0&at_tot=1 相关性分析的应用场景 ...
The output has an attribute named “pvalue”, which contains the matrix of the correlation test p-values. cor_get_pval(): extract a correlation matrix p-values from an object of class cor_mat(). cor_pmat(): compute the correlation matrix, but returns only the p-values of the ...
cor_pmat(): compute the correlation matrix, but returns only the p-values of the correlation tests. as_cor_mat(): convert a cor_test object into a correlation matrix format. 重塑相关矩阵 cor_reorder(): reorder correlation matrix, according to the coefficients, using the hierarchical clustering...
那么问题来了,单模型既然可以展示,为了进行两个模型的比较,也可以进行多个模型结果的展示来进行结果的对比。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 m2<-lm(neg_c_7~c160age+c12hour+c161sex+e17age,data=efc)tab_model(m1,m2) 为了适应广东使用者,此包还可以对需要显示的内容进行控制,其中show...
Create the correlation heatmap with ggplot2 The package reshape is required to melt the correlation matrix : library(reshape2) melted_cormat <- melt(cormat) head(melted_cormat) ## Var1 Var2 value ## 1 mpg mpg 1.00 ## 2 disp mpg -0.85 ## 3 hp mpg -0.78 ## 4 drat mpg ...