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basis_...() methods now contain
the actual results of each diagnostic tests. This allows users to
interrogate any diagnostic failures.condition_summary() methods for producing tables
that compare several environmental conditions.geom_jitter_failure_mode() for
plotting data with multiple failure modes for some (or all)
observations.maximum_normed_residual() test to
ensure that at least 3 observations were provided.calc_cv_star() function now accepts vectors.basis_anova function to prevent division by
zero when MSE is 0equiv_change_mean.print method so that
t-statistic and pooled SD are displayed.plot_nested to use linewidth
instead of size internally due to update to
ggplot2cmstatr_Validationhk_ext_z_j_opt. This affects the Basis values computed by
basis_hk_ext when method="optimum-order". Both
the new and old implementations appear to perform equally well. See the
vignette hk_ext for more information.nested_data_plot for producing
nested data plots.hk_extcmstatr_Graphing to show some
examples of the use of nested_data_plot.batch to the
carbon.data.2 example data set.k_factor_normal, suppress warnings emitted by
qt when the non-central parameter is large.testthat edition 3.basis_anova so that in cases where the
between-batch variance is small compared with the within-batch variance,
a tolerance factor that doesn’t consider the structure of the data is
used. This matches the recommendation of Vangel (1992).override="all" to allow overriding all
applicable diagnostic tests that are automatically run by the
basis_... functions.na.rm argument to cv with identical
behavior to the na.rm argument of mean and
sd.maximum_normed_residual to fail with
small data sets where all but two observations would be considered
outliers.basis_... functions), the error message now identifies
which test produced the error.glance.equiv_mean_extremum where it would
include empty values when a sample was not specified.dplyr from Suggests to Depends. It is expected
that nearly all users will use this package in their workflow, and a
future version of cmstatr will also rely on functionality
from dplyr.glance.basis to add
diagnostic test results to resulting data.frameprint methods for:
ad_ksampleanderson_darlingbasisequiv_mean_extremumequiv_chage_meanlevene_testmaximum_normed_residualalpha into the mnr object, and
updated print and glance methods to show the
value of alpha specified by the uservapply instead of sapply to
improve code safetytransform_mod_cv_2 to
transform_mod_cv_ad to better describe the purpose of this
function.transform_mod_cv.
Now if several groups are to be transformed separately, this needs to be
done explicitly using dplyr::group_by or a similar
strategy.modcv = TRUE. Previously, the diagnostic tests
were performed with the unmodified data. After this bug fix, the the
data after the modified CV transform is used for the diagnostic
tests.stat extensions to ggplot2:
stat_normal_surv_func to plot a normal survival
function based on the data givenstat_esf to plot an empirical survival functiontransform_mod_cvtransform_mod_cv_2normalize_group_meanbasis_nonparametric_large_sample to
basis_nonpara_large_samplenonparametric_binomial_rank to
nonpara_binomial_rankThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.