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只是试图为我的研究复制卡拉威和圣安娜平均治疗组效应，我想看看与从未治疗过的州（对照组）工资相比，特定法律实施如何影响所有治疗州的工资。

但我得到的错误是 -

var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm) 中的错误：在因子 x 上调用 var(x) 已失效. 使用类似 'all(duplicated(x)[-1L])' 的东西来测试一个常数向量。

谁能告诉我是什么问题？我的代码如下

## Cleaning treated and never treated 

dat$treat = ifelse(is.na(dat$law_effective_year),0,1)

dat$nevertreated = ifelse(dat$treat==0,1,0)

## Command for CSDID 

out1 <- att_gt(yname="ln_incwage",
               tname="year",
               gname="law_effective_year",
               xformla=~male + age + age2 + age3 + age4 + black + asian + hispanic + lths + hsdegree + somecollege ,
               data=dat, 
               est_method = "dr", # "dr" is doubly robust. "ipw" is inverse probability weighting. "reg" is regression
               control_group = "nevertreated", # set the comparison group which is either "nevertreated" or "notyettreated" 
               print_details = FALSE, # if TRUE, print detailed results
               clustervars = "statefip", # cluster level
               panel = FALSE) # wh)

summary(out1)
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