There may have been a bug introduced in version 4.5.2. When there is a missing value for a continuous variable (e.g., age in lalonde). Here is the error message:
> packageVersion("cobalt")
[1] ‘4.5.2’
> cobalt::bal.tab(subset(dfd, select = -c(treat, re78, nodegree, married))
+ ,treat=dfd$treat)$Balance
Note: `s.d.denom` not specified; assuming pooled.
Error in `.rowNamesDF<-`(x, value = value) :
duplicate 'row.names' are not allowed
In addition: Warning messages:
1: Missing values exist in the covariates. Displayed values omit these observations.
2: non-unique value when setting 'row.names': ‘age’
Here is the minimum code to replicate:
> packageVersion("cobalt")
[1] ‘4.5.2’
> cobalt::bal.tab(subset(dfd, select = -c(treat, re78, nodegree, married))
+ ,treat=dfd$treat)$Balance
Note: `s.d.denom` not specified; assuming pooled.
Error in `.rowNamesDF<-`(x, value = value) :
duplicate 'row.names' are not allowed
In addition: Warning messages:
1: Missing values exist in the covariates. Displayed values omit these observations.
2: non-unique value when setting 'row.names': ‘age’
Here is the same output when the version is reverted to 4.5.1:
> packageVersion("cobalt")
[1] ‘4.5.1’
> dfd <- cobalt::lalonde
> dfd$age[1] <- NA
>
> packageVersion("cobalt")
[1] ‘4.5.1’
> cobalt::bal.tab(subset(dfd, select = -c(treat, re78, nodegree, married))
+ ,treat=dfd$treat)$Balance
Note: `s.d.denom` not specified; assuming pooled.
Type Diff.Un Diff.Adj
age Contin. -0.248847159 NA
age:<NA> Binary 0.005405405 NA
educ Contin. 0.044755085 NA
race_black Binary 0.640446040 NA
race_hispan Binary -0.082731683 NA
race_white Binary -0.557714358 NA
re74 Contin. -0.595751591 NA
re75 Contin. -0.287002109 NA
Warning message:
Missing values exist in the covariates. Displayed values omit these observations.`
There may have been a bug introduced in version 4.5.2. When there is a missing value for a continuous variable (e.g., age in lalonde). Here is the error message:
Here is the minimum code to replicate:
Here is the same output when the version is reverted to 4.5.1: