Individual Anscombe data sets are empty

[alexploner]

After installing the current version (0.1.3) from github, everything seems to work as intendend, except that the individual Anscombe data sets (_leverage, '_linear`) etc. are empty:

library(quartets)
anscombe_leverage
# A tibble: 0 × 3
# ℹ 3 variables: dataset <chr>, x <dbl>, y <dbl>

This does not seem to be a case for the other data sets:

sapply(ls(2), function(x) nrow(get(x)))
         anscombe_leverage              anscombe_linear           anscombe_nonlinear             anscombe_outlier             anscombe_quartet 
                           0                            0                            0                            0                           44 
             causal_collider         causal_collider_time           causal_confounding      causal_confounding_time                causal_m_bias 
                         100                          100                          100                          100                          100 
          causal_m_bias_time              causal_mediator         causal_mediator_time               causal_quartet          causal_quartet_time 
                         100                          100                          100                          400                          400 
            datasaurus_dozen heterogeneous_causal_quartet         interaction_triptych             rashomon_quartet        rashomon_quartet_test 
                        1846                           88                         2700                         2000                         1000 
      rashomon_quartet_train     variation_causal_quartet 
                        1000                           88 

[malcolmbarrett]

Confirmed. This is because the filters in this file are using the old values for dataset but changed them a few lines before.

quartets/data-raw/clean-anscombe-data.R

Lines 9 to 19 in b812b77

	mutate(dataset = case_when(
	dataset == 1 ~ "(1) Linear",
	dataset == 2 ~ "(2) Nonlinear",
	dataset == 3 ~ "(3) Outlier",
	dataset == 4 ~ "(4) Leverage"
	))
	usethis::use_data(anscombe_quartet, overwrite = TRUE)
	anscombe_linear <- anscombe_quartet |>
	filter(dataset == 1)