如何循环R函子中的变量

Question

我是一个刚接触R的python用户，现在我正在处理R包GWmodel。

查看基本GWR的函数，如下所示：

gwr.res <- gwr.basic(GenEl2004 ~ DiffAdd + LARent + SC1 + Unempl + LowEduc + Age18_24 + Age25_44 + Age45_64, data = Dub.voter, bw = 100,  kernel = "bisquare", adaptive = TRUE, F123.test = TRUE)

我需要的是给出每个变量的估计参数的平均值，并将其附加到一个给定值bw (带宽)的列表中。

用python的话来说，这就像：

LARentMean = []
SC1Mean = []
UnenmplMean = []
LowEducMean = []
Age18_24Mean = []
Age25_44Mean = []
Age45_64Mean = []


for i in range (20,400):
    gwrres = gwr.basic(GenEl2004 ~ DiffAdd + LARent + SC1 + Unempl + LowEduc + Age18_24 + Age25_44 + Age45_64, data = Dub.voter, bw = i,  kernel = "bisquare", adaptive = TRUE, F123.test = TRUE)
    a = gwrres(LARent).mean()    #a <- mean(gwrres$SDF$LARent)
    b = gwrres(SC1).mean()       #b <- mean(gwrres$SDF$SC1)
    c = gwrres(Unenmpl).mean()   #c <- mean(gwrres$SDF$Unempl)
    d = gwrres(lowEduc).mean()   #d <- mean(gwrres$SDF$LowEduc)
    e = gwrres(Age18_24).mean()  #e <- mean(gwrres$SDF$Age18_24)
    f = gwrres(Age25_44).mean()  #f <- mean(gwrres$SDF$Age25_44)
    g = gwrres(Age45_64).mean()  #g <- mean(gwrres$SDF$Age45_64)
    LARentMean.append(a)
    SC1Mean.append(b)
    UnenmplMean.append(c)
    LowEducMean.append(d)
    Age18_24Mean.append(e)
    Age25_44Mean.append(f)
    Age45_64Mean.append(g)

Answer 1

您可以使用将循环到列表的，例如：

l = lapply(20:400, function(i){
    gwr.basic(GenEl2004 ~ DiffAdd + LARent + SC1 + Unempl + LowEduc + 
        Age18_24 + Age25_44 + Age45_64, data=Dub.voter, bw=i,
        kernel="bisquare", adaptive=T, F123.test=T)
})

我不知道gwr.basic作为输出生成了什么，所以您可能希望额外的一行只取平均值(如果它提供了更多的信息)。