This is a duplicate of your SO post:

https://stackoverflow.com/questions/68135737/error-in-varif-is-vectorx-is-factorx-x-else-as-doublex

There you were asked for some data to make it reproducible. You shouldn't assume that people here are any more clairvoyant than the SO readers.

Duncan Murdoch

On 25/06/2021 2:54 p.m., Tariq Khasiri wrote:
Just trying to replicate the Callaway and Sant'Anna  average treatment
group effect for my research where I would like to see how a particular law
implementation is affecting all the treated states' wages compared to the
never treated states' ( control group ) wage :

## 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)

But the error I'm getting is -

Error in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm =
na.rm) :
   Calling var(x) on a factor x is defunct.
   Use something like 'all(duplicated(x)[-1L])' to test for a constant
vector.

Can anyone tell me what's the issue ?

        [[alternative HTML version deleted]]

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