单击X轴系列值右侧的单元格选择按钮,用鼠标选择工作表中的单元格区域B3:B11,在文本框中输入逗号,然后再用鼠标选择工作表中的单元格区域D3:D11,再在文本框中输入逗号,接着再用鼠标选择工作表中的单元格区域...将Y轴系列值中的“={1}”删除,单击其右侧的单元格选择按钮,用鼠标选择工作表中的单元格区域C3:C1...
cvob1 = cv.glmnet(x, y) plot(cvob1) title("Gaussian Family", line = 2.5) cvob1r = cv.glmnet(x, y, relax = TRUE) plot(cvob1r) frame() set.seed(1011) par(mfrow = c(2, 2), mar = c(4.5, 4.5, 4, 1)) cvob2 = cv.glmnet(x, ly, family = "binomial") plot(cvob2...
Model stability and variable importance plots for glmnet
代码: ibrary(glmnet)#载入所需R包y <- read.table(file = "Y.txt",header = T,sep = "\t",row.names = 1) 载入生存数据,行名为样本名,除行名外另外两列为生存时间和生存状态x <- read.table(file = "X.txt",header = T,sep = "\t",row.names = 1)#载入变量数据,即表达矩阵,但行名为...
cvfit <- cv.glmnet(x,y,alpha=1,nfolds = 3,family='binomial')plot(cv.fit)print(cv.fit)fit <- glmnet(x,y,family = 'binomial',alpha = 1,nlambda = 1000)plot(fit,xvar="lambda")Warning messages:1: from glmnet C++ 发布于 2022-07-05 09:47...