[英]How can I fit all variables using splines with gam in R without typing each one?
Lets say I have a data set with y
and x1
, x2
, xp
variables. 可以说我有一个数据集,其中包含
y
和x1
, x2
和xp
变量。 I want to fit all of my predictors with splines. 我想用样条曲线拟合所有预测变量。
For example : 例如 :
gam_object = gam(y ~ s(x1) + s(x2) + s(xp), data)
How can I do this without typing every single variable? 如何在不键入每个变量的情况下执行此操作? If I would like to fit the module without the first two without using splines.
如果我想在不使用花键的情况下不使用前两个模块来安装该模块。 How can I do that?
我怎样才能做到这一点?
gam_object2 = gam(y ~ x1 + x2 + s(x1) + s(x2), data)
Maybe this could help you: 也许这可以帮助您:
p<-10
as.formula(paste0("y~",paste0("s(x",1:p,")",collapse="+")))
If you don't want to use first two or more generally don't use splines on some specific variables use: 如果您不想使用前两个或多个,通常不要在某些特定变量上使用样条线,请使用:
data<- #yours data
use<-c(3:6,9:10)
dontuse<-c(1:2,7:8)
form<-as.formula(
paste0("y~",paste0("s(x",use,")",collapse="+"),"+",paste0("x",dontuse,collapse="+"),collapse=""))
And then run model: 然后运行模型:
gam(data=data,formula=form,family=gaussian)
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