用于提取值的R循环
我希望的输出将显示三列——变量、系数、标准误差: 那么:用于提取值的R循环,r,dplyr,data.table,lapply,mapply,R,Dplyr,Data.table,Lapply,Mapply,我希望的输出将显示三列——变量、系数、标准误差: 那么: ATTEMPT = lapply(1:length(models), function(x) { cbind(cov, coef(summary(models[[x]]))[2,1:2])}) ATTEMPT2=lappy(1:长度(型号)、函数(x){ cf将更容易将数据重新格式化为长格式,并使用包nlme中的lmList& ATTEMPT = lapply(1:length(models), f
ATTEMPT = lapply(1:length(models), function(x) {
cbind(cov, coef(summary(models[[x]]))[2,1:2])})
ATTEMPT2=lappy(1:长度(型号)、函数(x){
cf将更容易将数据重新格式化为长格式,并使用包nlme中的lmList&
ATTEMPT = lapply(1:length(models), function(x) {
cbind(cov, coef(summary(models[[x]]))[2,1:2])})
ATTEMPT2 = lapply(1:length(models), function(x) {
cf <- coef(summary(models[[x]]))
data.frame(Variable=rownames(cf)[2],
Estimate=cf[2,1],
Std.Error=cf[2,2])})
(df2 <- do.call("rbind", ATTEMPT2))
# Variable Estimate Std.Error
# 1 write 0.6455300 0.06168323
# 2 math 0.7248070 0.05827449
# 3 science 0.6525644 0.05714318
# 4 socst 0.5935322 0.05317162