level
Code
res_ <- get_confidence_interval(test_df)
Message
Using `level = 0.95` to compute confidence interval.
Code
test_df %>% get_confidence_interval(type = "other")
Message
Using `level = 0.95` to compute confidence interval.
Condition
Error in `get_confidence_interval()`:
! The options for `type` are "percentile", "se", or "bias-corrected".
Code
test_df %>% get_confidence_interval(level = 1.2)
Condition
Error in `get_confidence_interval()`:
! The value of `level` must be between 0 and 1, non-inclusive.
Code
test_df %>% get_confidence_interval(point_estimate = "a")
Message
Using `level = 0.95` to compute confidence interval.
Condition
Error in `get_confidence_interval()`:
! `point_estimate` must be 'numeric', not 'character'.
Code
test_df %>% get_confidence_interval(type = "se", point_estimate = "a")
Message
Using `level = 0.95` to compute confidence interval.
Condition
Error in `get_confidence_interval()`:
! `point_estimate` must be 'numeric', not 'character'.
Code
test_df %>% get_confidence_interval(type = "se", point_estimate = data.frame(p = "a"))
Message
Using `level = 0.95` to compute confidence interval.
Condition
Error in `get_confidence_interval()`:
! `point_estimate[[1]][[1]]` must be 'numeric', not 'character'.
Code
test_df %>% get_confidence_interval(type = "se")
Message
Using `level = 0.95` to compute confidence interval.
Condition
Error in `get_confidence_interval()`:
! A numeric value needs to be given for `point_estimate` for `type` "se" or "bias-corrected".
Code
test_df %>% get_confidence_interval(type = "bias-corrected")
Message
Using `level = 0.95` to compute confidence interval.
Condition
Error in `get_confidence_interval()`:
! A numeric value needs to be given for `point_estimate` for `type` "se" or "bias-corrected".
Code
get_confidence_interval(null_fits, point_estimate = obs_fit_2, level = 0.95)
Condition
Error in `get_confidence_interval()`:
! The explanatory variables used to generate the distribution of null fits are not the same used to fit the observed data.
Code
get_confidence_interval(null_fits, point_estimate = obs_fit_3, level = 0.95)
Condition
Error in `get_confidence_interval()`:
! The response variable of the null fits (hours) is not the same as that of the observed fit (year).
Code
get_confidence_interval(null_fits, point_estimate = "boop", level = 0.95)
Condition
Error in `get_confidence_interval()`:
! The `point_estimate` argument should be the output of `fit()`.
i See the documentation with `?get_confidence_interval`.
Code
get_confidence_interval(null_fits, point_estimate = obs_fit$estimate, level = 0.95)
Condition
Error in `get_confidence_interval()`:
! The `point_estimate` argument should be the output of `fit()`.
i See the documentation with `?get_confidence_interval`.
Code
get_confidence_interval(obs_fit, point_estimate = null_fits, level = 0.95)
Condition
Error in `get_confidence_interval()`:
! The `x` argument needs to be passed to `generate()` before `fit()`.
Code
get_confidence_interval(null_dist_theory, level = 0.95, type = "percentile",
point_estimate = x_bar)
Condition
Error in `get_confidence_interval()`:
! The only `type` option for theory-based confidence intervals is `type = "se"`.
Code
get_confidence_interval(null_dist_theory, level = 0.95, type = "boop",
point_estimate = x_bar)
Condition
Error in `get_confidence_interval()`:
! The only `type` option for theory-based confidence intervals is `type = "se"`.
Code
get_confidence_interval(null_dist_theory, level = 0.95, point_estimate = dplyr::pull(
x_bar))
Condition
Error in `get_confidence_interval()`:
! For theoretical confidence intervals, the `point_estimate` argument must be an `infer` object. Have you made sure to supply the output of `calculate()` as the `point_estimate` argument?
Code
get_confidence_interval(null_dist_theory, level = 0.95, point_estimate = x_bar$
stat)
Condition
Error in `get_confidence_interval()`:
! For theoretical confidence intervals, the `point_estimate` argument must be an `infer` object. Have you made sure to supply the output of `calculate()` as the `point_estimate` argument?
Code
get_confidence_interval(null_dist_theory, level = 0.95, point_estimate = obs_t)
Condition
Error in `get_confidence_interval()`:
! The only allowable statistics for theoretical confidence intervals are "mean", "prop", "diff in means", and "diff in props". See the "Details" section of `get_confidence_interval()` (`?infer::get_confidence_interval()`) for more details.
Code
get_confidence_interval(null_dist_theory, level = 0.95, point_estimate = p_hat)
Condition
Error in `get_confidence_interval()`:
! Confidence intervals using a `t` distribution for `stat = prop` are not implemented.
Code
get_confidence_interval(null_dist_z, level = 0.95, point_estimate = x_bar)
Condition
Error in `get_confidence_interval()`:
! Confidence intervals using a `z` distribution for `stat = mean` are not implemented.
Code
res <- get_confidence_interval(boot_dist, 0.95)
Condition
Warning:
4 estimates were missing and were removed when calculating the confidence interval.
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