我能够执行以下内容:
foo=data.frame(y=rnorm(100),x1=rnorm(100),x2=rnorm(100),x3=rnorm(100))
full=lm(foo$y ~ foo$x1 + foo$x2 + foo$x3)
nil=lm(foo$y ~ 1)
fwd=step(nil,scope=list(lower=formula(nil),upper=formula(full)),direction='forward')
但我正在使用data.table,如下所示:
library(data.table)
foo=data.table(y=rnorm(100),x1=rnorm(100),x2=rnorm(100),x3=rnorm(100))
full=foo[,lm(y ~ x1 + x2 + x3)]
nil=foo[,lm(y ~ 1)]
fwd=foo[,step(nil,scope=list(lower=formula(nil),upper=formula(full)),direction='forward')]
我收到错误:
Error in eval(expr, envir, enclos) : object 'x1' not found
但x1
是在上面的J表达式中为data.table定义的 - 有没有办法绕过它而不必将我的表转换为data.frame?
答案 0 :(得分:4)
您需要将.SD
作为data
参数传递给lm
中的[.data.table
,否则data.table
会优化j
foo=data.table(y=rnorm(100),x1=rnorm(100),x2=rnorm(100),x3=rnorm(100))
full=foo[,lm(y ~ x1 + x2 + x3,data=.SD)]
nil=foo[,lm(y ~ 1,data=.SD)]
fwd <- step(nil,scope=list(lower=formula(nil),upper=formula(full)),direction='forward')
# using .SD means all columns are available
ls(environment(formula(nil))
## [1] "x1" "x2" "x3" "y"
# compared with
nil.noSD =foo[,lm(y ~ 1)]
ls(environment(formula(nil.noSD)))
## [1] "y"
}}参数只使用引用的内容。
lm
请注意,data.table和Account a = findAccountIdByUID(uid);
ProvisioningService provService = oimClient.getService(oracle.iam.provisioning.api.ProvisioningService.class);
a = provService.getAccountDetails(Long.valueOf(a.getAccountID()));
System.out.println(a.getAccountData().getData().get("UD_ZZZZ_USR_LOGIN"));
a.getAccountData().getData().put("UD_ZZZZ_USR_LOGIN", "hohoho"); <<<<< error
provService.modify(a);
以及update.formula等的范围规则并不总是很好地发挥&#34;
请参阅Why is using update on a lm inside a grouped data.table losing its model data?以获取示例