Code
res_ <- gss_tbl %>% specify(age ~ hours) %>% hypothesize(null = "independence") %>%
generate(reps = 100, type = "permute") %>% calculate(stat = "slope") %>%
visualize(obs_stat = obs_slope, direction = "right")
Condition
Warning:
The arguments `c("obs_stat", "direction")` are deprecated in `visualize()` and will be ignored. They should now be passed to one of `shade_p_value()` or `shade_confidence_interval()`.
Code
res_ <- gss_tbl %>% specify(age ~ hours) %>% hypothesize(null = "independence") %>%
generate(reps = 100, type = "permute") %>% calculate(stat = "slope") %>%
visualize(obs_stat = obs_slope)
Condition
Warning:
The arguments `obs_stat` are deprecated in `visualize()` and will be ignored. They should now be passed to one of `shade_p_value()` or `shade_confidence_interval()`.
Code
res_ <- gss_tbl %>% specify(age ~ hours) %>% hypothesize(null = "independence") %>%
generate(reps = 100, type = "permute") %>% calculate(stat = "slope") %>%
visualize(endpoints = c(0.01, 0.02))
Condition
Warning:
The arguments `endpoints` are deprecated in `visualize()` and will be ignored. They should now be passed to one of `shade_p_value()` or `shade_confidence_interval()`.
Code
res <- age_hours_df %>% visualize(endpoints = c(0.01, 0.02))
Condition
Warning:
The arguments `endpoints` are deprecated in `visualize()` and will be ignored. They should now be passed to one of `shade_p_value()` or `shade_confidence_interval()`.
Code
hours_resamp %>% visualize(bins = "yep")
Condition
Error in `visualize()`:
! `bins` must be 'numeric', not 'character'.
argument "obs_stat" is missing, with no default
Code
res_vis_theor_none_1 <- gss_tbl %>% specify(sex ~ college, success = "female") %>%
hypothesize(null = "independence") %>% calculate(stat = "z", order = c(
"no degree", "degree")) %>% visualize(method = "theoretical")
Message
Rather than setting `method = "theoretical"` with a simulation-based null distribution, the preferred method for visualizing theory-based distributions with infer is now to pass the output of `assume()` as the first argument to `visualize()`.
Condition
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Code
gss_tbl %>% specify(sex ~ college, success = "female") %>% hypothesize(null = "independence") %>%
generate(reps = 100, type = "permute") %>% calculate(stat = "diff in props",
order = c("no degree", "degree")) %>% visualize(method = "both") +
shade_p_value(direction = "both", obs_stat = obs_diff)
Condition
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Error in `theoretical_layer()`:
! Your `calculate`d statistic and the theoretical distribution are on different scales. Use a standardized `stat` instead.
Code
gss_tbl %>% specify(partyid ~ NULL) %>% hypothesize(null = "point", p = c(dem = 0.4,
rep = 0.4, ind = 0.2)) %>% visualize(method = "traditional")
Condition
Error in `visualize()`:
! Provide `method` with one of three options: `"theoretical"`, `"both"`, or `"simulation"`. `"simulation"` is the default for simulation-based null distributions, while `"theoretical"` is the only option for null distributions outputted by `assume()`.
Code
gss_tbl %>% specify(hours ~ sex) %>% hypothesize(null = "independence") %>%
generate(reps = 100, type = "permute") %>% calculate(stat = "diff in means",
order = c("female", "male")) %>% visualize(method = "both") + shade_p_value(
direction = "both", obs_stat = obs_diff_mean)
Condition
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Error in `theoretical_layer()`:
! Your `calculate`d statistic and the theoretical distribution are on different scales. Use a standardized `stat` instead.
Code
res_vis_theor_both_1 <- gss_tbl %>% specify(hours ~ sex) %>% hypothesize(null = "independence") %>%
generate(reps = 100, type = "permute") %>% calculate(stat = "diff in means",
order = c("female", "male")) %>% visualize(method = "theoretical") +
shade_p_value(direction = "both", obs_stat = obs_diff_mean)
Message
Rather than setting `method = "theoretical"` with a simulation-based null distribution, the preferred method for visualizing theory-based distributions with infer is now to pass the output of `assume()` as the first argument to `visualize()`.
Condition
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Warning:
Your `calculate`d statistic and the theoretical distribution are on different scales. Displaying only the theoretical distribution.
Code
gss_tbl %>% specify(hours ~ NULL) %>% hypothesize(null = "point", mu = 4) %>%
generate(reps = 100, type = "bootstrap") %>% visualize(method = "both")
Condition
Error in `visualize()`:
! `generate()` and `calculate()` are both required to be done prior to `visualize(method = "both")`
Code
res_method_both <- gss_tbl %>% specify(hours ~ college) %>% hypothesize(null = "point",
mu = 4) %>% generate(reps = 10, type = "bootstrap") %>% calculate(stat = "t",
order = c("no degree", "degree")) %>% visualize(method = "both")
Condition
Warning:
With only 10 replicates, it may be difficult to see the relationship between simulation and theory.
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Code
res_ <- gss_tbl %>% specify(sex ~ partyid, success = "female") %>% hypothesize(
null = "independence") %>% generate(reps = 100, type = "permute") %>%
calculate(stat = "Chisq") %>% visualize(method = "both") + shade_p_value(
obs_stat = 2, direction = "left")
Condition
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Code
res_ <- gss_tbl %>% specify(age ~ partyid) %>% hypothesize(null = "independence") %>%
generate(reps = 100, type = "permute") %>% calculate(stat = "F") %>%
visualize(method = "both") + shade_p_value(obs_stat = 2, direction = "two_sided")
Condition
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Code
res_ <- gss_tbl %>% specify(sex ~ partyid, success = "female") %>% hypothesize(
null = "independence") %>% calculate(stat = "Chisq") %>% visualize(method = "theoretical") +
shade_p_value(obs_stat = 2, direction = "left")
Message
Rather than setting `method = "theoretical"` with a simulation-based null distribution, the preferred method for visualizing theory-based distributions with infer is now to pass the output of `assume()` as the first argument to `visualize()`.
Condition
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Code
res_ <- gss_tbl %>% specify(age ~ partyid) %>% hypothesize(null = "independence") %>%
calculate(stat = "F") %>% visualize(method = "theoretical") + shade_p_value(
obs_stat = 2, direction = "two_sided")
Message
Rather than setting `method = "theoretical"` with a simulation-based null distribution, the preferred method for visualizing theory-based distributions with infer is now to pass the output of `assume()` as the first argument to `visualize()`.
Condition
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Code
res_ <- gss_tbl_boot %>% visualize() + shade_confidence_interval(endpoints = df_error)
Condition
Error in `shade_confidence_interval()`:
! Expecting `endpoints` to be a 1 x 2 data frame or 2 element vector.
Code
res_ <- gss_tbl_boot %>% visualize() + shade_confidence_interval(endpoints = vec_error)
Condition
Warning:
Expecting `endpoints` to be a 1 x 2 data frame or 2 element vector. Using the first two entries as the `endpoints`.
Code
res_ci_vis <- gss_tbl_boot %>% visualize() + shade_confidence_interval(
endpoints = perc_ci, direction = "between")
Condition
Warning:
Ignoring unknown parameters: `direction`
Warning:
Ignoring unknown parameters: `direction`
Code
res_vis_no_hypothesize_both <- gss_tbl_boot_tbl %>% calculate(stat = "t") %>%
visualize(method = "both")
Condition
Warning:
A t statistic requires a null hypothesis to calculate the observed statistic.
Output assumes the following null value: `mu = 0`.
Warning:
Check to make sure the conditions have been met for the theoretical method. infer currently does not check these for you.
Code
warn_right_tail_test("left", stat_name)
Condition
Warning:
F usually corresponds to right-tailed tests. Proceed with caution.
Output
[1] TRUE
Code
warn_right_tail_test("two_sided", stat_name)
Condition
Warning:
F usually corresponds to right-tailed tests. Proceed with caution.
Output
[1] TRUE
Code
warn_right_tail_test("left", stat_name)
Condition
Warning:
Chi-Square usually corresponds to right-tailed tests. Proceed with caution.
Output
[1] TRUE
Code
warn_right_tail_test("two_sided", stat_name)
Condition
Warning:
Chi-Square usually corresponds to right-tailed tests. Proceed with caution.
Output
[1] TRUE
NaN
Code
res_ <- visualize(dist)
Condition
Warning:
1 calculated statistic was `NaN`. `NaN`s have been omitted from visualization.
i See `calculate()` (`?infer::calculate()`) for more details.
Code
res_ <- visualize(dist)
Condition
Warning:
2 calculated statistics were `NaN`. `NaN`s have been omitted from visualization.
i See `calculate()` (`?infer::calculate()`) for more details.
Code
res_ <- visualize(dist)
Condition
Error:
! All calculated statistics were `NaN`.
i See `calculate()` (`?infer::calculate()`) for more details.
Code
res_viz_fit_p_val_right <- null_fits %>% visualize() + shade_p_value(obs_stat = obs_fit,
direction = "right")
assume()
outputCode
res_viz_assume_t_sim <- visualize(null_dist, method = "simulation")
Condition
Warning:
Simulation-based visualization methods are not well-defined for `assume()` output; the `method` argument will be ignored.
i Set `method = "theoretical"` to silence this message.
Code
res_viz_assume_t_both <- visualize(null_dist, method = "both")
Condition
Warning:
Simulation-based visualization methods are not well-defined for `assume()` output; the `method` argument will be ignored.
i Set `method = "theoretical"` to silence this message.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.