Last updated on 2026-09-24 05:04:20 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.0 | 16.75 | 135.85 | 152.60 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.0 | 11.88 | 101.96 | 113.84 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.1.0 | 13.00 | 99.36 | 112.36 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.0 | 13.00 | 86.22 | 99.22 | ERROR | |
| r-devel-windows-x86_64 | 0.1.0 | 19.00 | 154.00 | 173.00 | OK | |
| r-patched-linux-x86_64 | 0.1.0 | 15.38 | 130.65 | 146.03 | OK | |
| r-release-linux-x86_64 | 0.1.0 | 16.55 | 132.69 | 149.24 | OK | |
| r-release-macos-arm64 | 0.1.0 | 5.00 | 36.00 | 41.00 | OK | |
| r-release-macos-x86_64 | 0.1.0 | 12.00 | 137.00 | 149.00 | OK | |
| r-release-windows-x86_64 | 0.1.0 | 20.00 | 146.00 | 166.00 | OK | |
| r-oldrel-macos-arm64 | 0.1.0 | OK | ||||
| r-oldrel-macos-x86_64 | 0.1.0 | 11.00 | 125.00 | 136.00 | OK | |
| r-oldrel-windows-x86_64 | 0.1.0 | 25.00 | 181.00 | 206.00 | OK |
Version: 0.1.0
Check: examples
Result: ERROR
Running examples in ‘waou-Ex.R’ failed
The error most likely occurred in:
> ### Name: calculate_weights
> ### Title: Calculate Weights
> ### Aliases: calculate_weights
>
> ### ** Examples
>
> # Prepare the NHIS data
> calVars <- c(
+ "SEX_A_R", "AGEP_A_R", "HISPALLP_A_R", "ORIENT_A_R", "HICOV_A_R", "EDUCP_A_R", "REGION_R",
+ "EMPLASTWK_A_R", "HOUTENURE_A_R", "MARITAL_A_R"
+ )
> stuVars <- "DIBTYPE_A_R"
> vars_dummies <- c("AGEP_A_R","HISPALLP_A_R","EDUCP_A_R","REGION_R")
> nhis_keep_vars <- c("PPSU","PSTRAT","WTFA_A")
> nhis_imputed <- impute_data(nhis_processed, c(calVars, stuVars), nhis_keep_vars)
iter imp variable
1 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
2 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
3 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
4 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
5 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
6 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
7 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
8 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
9 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
10 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
11 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
12 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
13 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
14 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
15 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
16 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
17 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
18 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
19 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
20 1 SEX_A_R_I AGEP_A_R_I ORIENT_A_R_I HICOV_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
> nhis_dummied <- dummies(nhis_imputed, vars=paste0(vars_dummies, '_I'))
> factor_vars <- setdiff(names(nhis_dummied), nhis_keep_vars)
> nhis_dummied[factor_vars] <- lapply(nhis_dummied[factor_vars], as.factor)
>
> # Prepare the synthetic All of Us data
> aou_imputed <- impute_data(aou_synthetic, c(calVars, stuVars))
iter imp variable
1 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
2 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
3 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
4 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
5 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
6 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
7 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
8 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
9 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
10 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
11 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
12 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
13 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
14 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
15 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
16 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
17 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
18 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
19 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
20 1 AGEP_A_R_I ORIENT_A_R_I EDUCP_A_R_I EMPLASTWK_A_R_I HOUTENURE_A_R_I MARITAL_A_R_I DIBTYPE_A_R_I
> aou_dummied <- dummies(aou_imputed, vars=paste0(vars_dummies, '_I'))
> aou_dummied[] <- lapply(aou_dummied, as.factor)
>
> # Calculate IPW weights using NHIS data and applied to All of Us
> weights_df <- calculate_weights(
+ nhis_dummied,
+ aou_dummied,
+ 'ipw',
+ paste0(calVars, '_I'),
+ paste0(stuVars, '_I'),
+ weight='WTFA_A',
+ strata='PSTRAT',
+ psu='PPSU'
+ )
Error in nonprob(selection = reformulate(aux_variables), target = reformulate(study_variables[1]), :
The outcome/target variable `DIBTYPE_A_R_I` is a factor; only numeric or logical outcomes are supported. Convert it before calling `nonprob()` (e.g. to 0/1 for `family_outcome = "binomial"`).
Calls: calculate_weights -> nonprob
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc