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Use new arg-names of data_rename() #784

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merged 9 commits into from
Dec 3, 2024
Merged

Use new arg-names of data_rename() #784

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7fafaaf
Use new arg-names of `data_rename()`
strengejacke Dec 2, 2024
36c21cb
Update DESCRIPTION
strengejacke Dec 2, 2024
6d70a53
Update DESCRIPTION
strengejacke Dec 2, 2024
62b0b21
use see
strengejacke Dec 2, 2024
74a1704
Merge branch 'main' into use_new_datarename_args
strengejacke Dec 2, 2024
130d175
Trigger CI
strengejacke Dec 3, 2024
6dce8ed
Merge branch 'use_new_datarename_args' of https://github.com/easystat…
strengejacke Dec 3, 2024
eb43dd4
fix
strengejacke Dec 3, 2024
cc12d2a
fix
strengejacke Dec 3, 2024
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
Type: Package
Package: performance
Title: Assessment of Regression Models Performance
Version: 0.12.4.8
Version: 0.12.4.12
Authors@R:
c(person(given = "Daniel",
family = "Lüdecke",
Expand Down Expand Up @@ -160,4 +160,4 @@ Config/Needs/website:
r-lib/pkgdown,
easystats/easystatstemplate
Config/rcmdcheck/ignore-inconsequential-notes: true
Remotes: easystats/insight
Remotes: easystats/datawizard, easystats/see
2 changes: 1 addition & 1 deletion R/check_collinearity.R
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Expand Up @@ -198,7 +198,7 @@
x <- insight::format_table(x)
x <- datawizard::data_rename(
x,
pattern = "SE_factor",
select = "SE_factor",
replacement = "Increased SE",
verbose = FALSE
)
Expand Down Expand Up @@ -409,7 +409,7 @@



.check_collinearity <- function(x, component, ci = 0.95, verbose = TRUE) {

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file=R/check_collinearity.R,line=412,col=1,[cyclocomp_linter] Reduce the cyclomatic complexity of this function from 44 to at most 40.

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file=R/check_collinearity.R,line=412,col=1,[cyclocomp_linter] Reduce the cyclomatic complexity of this function from 44 to at most 40.
v <- insight::get_varcov(x, component = component, verbose = FALSE)

# sanity check
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9 changes: 1 addition & 8 deletions R/check_model_diagnostics.R
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Expand Up @@ -10,16 +10,9 @@
dat$group[dat$VIF >= 5 & dat$VIF < 10] <- "moderate"
dat$group[dat$VIF >= 10] <- "high"

dat <- datawizard::data_rename(
dat,
c("Term", "VIF", "SE_factor", "Component"),
c("x", "y", "se", "facet"),
verbose = FALSE
)

dat <- datawizard::data_select(
dat,
c("x", "y", "facet", "group"),
select = c(x = "Term", y = "VIF", facet = "Component", group = "group"),
verbose = FALSE
)

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