The output of the function rcorr() is a list containing the following elements : - r : the correlation matrix - n : the matrix of the number of observations used in analyzing each pair of variables - P : the p-values corresponding to the significance levels of correlations.library(Hmisc...
cor.mtest <- function(mat, ...) { mat <- as.matrix(mat) n <- ncol(mat) p.mat<- matrix(NA, n, n) diag(p.mat) <- 0 for (i in 1:(n - 1)) { for (j in (i + 1):n) { tmp <- cor.test(mat[, i], mat[, j], ...) p.mat[i, j] <- p.mat[j, i] <- ...
M= cor(mtcars)#自编写函数得到pvalue矩阵cor.mtest <- function(mat, ...) { mat <-as.matrix(mat) n <- ncol(mat) p.mat<- matrix(NA, n, n) diag(p.mat) <-0for (iin1:(n -1)) { for (jin(i +1):n) { tmp <- cor.test(mat[, i], mat[, j], ...) p.mat[i, j] ...
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 <- PCA(concentration4_pca, quali.sup = 1,...
The output of the function rcorr() is a list containing the following elements : - r : the correlation matrix - n : the matrix of the number of observations used in analyzing each pair of variables - P : the p-values corresponding to the significance levels of correlations. ...
set.seed(123)# 由于可复制性的考虑,重置随机数发生器# 生成样本t<-200# 时间序列观察数k<-2# 内生变量数p<-2# 滞后阶数# 生成系数矩阵A.1<-matrix(c(-.3,.6,-.4,.5),k)# 滞后系数矩阵1A.2<-matrix(c(-.1,-.2,.1,.05),k)# 滞后系数2A<-cbind(A.1,A.2)# 系数矩阵# 生成序列ser...
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 correlation tests. as_cor_mat(): convert a cor_test object into a correlation matrix format. ...
SSlogis has an attribute called "initial", which is a function that nls can call to compute reasonable starting values for fitting a logistic function to the input data.所以我们看到代码中都给出了响应参数的初始值。运行上面代码后输出如下结果：我们可以看到结果中的固定效应里面有Asym，Xmid，scal参数...
This example shows the problem with non-numeric variables when computing a correlation matrix in R.Consider the following R code:cor(data) # Trying to apply cor function # Error in cor(data) : 'x' must be numericAs you can see, the error message“‘x’ must be numeric” was returned....
3)Example 2: Using cor() Function to Calculate Kendall Correlation 4)Example 3: Using cor() Function to Calculate Spearman Correlation 5)Example 4: Calculate Correlation of Data with NA Values 6)Example 5: Calculate Correlation Matrix for Entire Data Frame ...