本文介绍了如何为数据帧的每个子集运行lm,然后汇总结果?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一个大数据框df,其列名为:
I have a big data frame df, with columns named as :
age, income, country我想做的实际上很简单,要做
what I want to do is very simpe actually, do
fitFunc<-function(thisCountry){ subframe<-df[which(country==thisCountry)]; fit<-lm(income~0+age, data=subframe); return(coef(fit)); }每个国家/地区.然后将结果汇总到一个新的数据框中,如下所示:
for each individual country. Then aggregate the result into a new data frame looks like :
countryname, coeffname 1 USA 1.2 2 GB 1.0 3 France 1.1我试图做:
do.call("rbind", lapply(allRics[1:5], fitit))但是我不知道下一步该怎么做.
but i don know what to do next.
任何人都可以帮忙吗?
谢谢!
推荐答案这对您有用吗?
set.seed(1) df<-data.frame(income=rnorm(100,100,20),age=rnorm(100,40,10),country=factor(sample(1:3,100,replace=T),levels=1:3,labels=c("us","gb","france"))) out<-lapply(levels(df$country) , function(z) { data.frame(country=z, age= coef(lm(income~0+age, data=df[df$country==z,])),row.names=NULL) }) do.call(rbind ,out)更多推荐
如何为数据帧的每个子集运行lm,然后汇总结果?
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