Comments (1)
Okay, this happens if the outcome is named like any valid R function...
library(performance)
mtcars$lapply <- mtcars$mpg
model <- lm(log(lapply) ~ disp, data = mtcars)
check_predictions(model)
#> Error in exp(i) - plus_minus: non-numeric argument to binary operator
mtcars$binned_residuals <- mtcars$mpg
model <- lm(log(binned_residuals) ~ disp, data = mtcars)
check_predictions(model)
#> Error in exp(i) - plus_minus: non-numeric argument to binary operator
from performance.
Related Issues (20)
- Revising `check_model()` HOT 1
- check_model failing on logistic regression HOT 2
- Check_model in version 0.11.0 no longer produces qq plot residuals HOT 19
- r2_nakagawa and glmmTMB with beta_family HOT 4
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- cannot apply check_model title with patchwork::plot_annotation HOT 4
- check_model error suggestions are not complete HOT 5
- Error and Incomplete Output Using performance::check_collinearity with Cox Models HOT 1
- Normality of Residuals of check_model is abnormal. HOT 2
- Revise compare_models() for Bayesian models HOT 5
- R-squared for glmmTMB (binomial) HOT 9
- check_model() bugged for lmer models *only* when run as part of an RMD chunk HOT 3
- Error in `check_model(<glmer>)` HOT 3
- Problems using `r2_nakagawa()` HOT 1
- check_model fails if dependent variable is labelled HOT 5
- Remove unnecessary `tryCatch()` statements targeting `insight::download_model()` HOT 2
- check_collinearity() does not work with orthogonal polynomials HOT 10
- Should check_overdispersion give warning when applied to quasipoisson? HOT 1
- Check for influential observations of GLM w/o numeric variables
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from performance.