larmarange / ggstats

Extension to ggplot2 for plotting stats
https://larmarange.github.io/ggstats/
GNU General Public License v3.0
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`position_likert()` and `gglikert()` #25

Closed larmarange closed 1 year ago

larmarange commented 1 year ago

Experimental features to facilitate plotting Likert scales

codecov[bot] commented 1 year ago

Codecov Report

Patch coverage: 92.30% and project coverage change: -0.03 :warning:

Comparison is base (6c326ca) 93.19% compared to head (1679d95) 93.17%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #25 +/- ## ========================================== - Coverage 93.19% 93.17% -0.03% ========================================== Files 8 11 +3 Lines 441 747 +306 ========================================== + Hits 411 696 +285 - Misses 30 51 +21 ``` | [Impacted Files](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange) | Coverage Δ | | |---|---|---| | [R/ggstats-package.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9nZ3N0YXRzLXBhY2thZ2UuUg==) | `100.00% <ø> (ø)` | | | [R/stat\_cross.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9zdGF0X2Nyb3NzLlI=) | `90.62% <ø> (ø)` | | | [R/stat\_prop.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9zdGF0X3Byb3AuUg==) | `0.00% <0.00%> (ø)` | | | [R/stat\_weighted\_mean.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9zdGF0X3dlaWdodGVkX21lYW4uUg==) | `100.00% <ø> (ø)` | | | [R/position\_likert.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9wb3NpdGlvbl9saWtlcnQuUg==) | `74.41% <74.41%> (ø)` | | | [R/label\_number\_abs.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9sYWJlbF9udW1iZXJfYWJzLlI=) | `90.00% <90.00%> (ø)` | | | [R/gglikert.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9nZ2xpa2VydC5S) | `95.70% <95.70%> (ø)` | | | [R/ggcoef\_model.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9nZ2NvZWZfbW9kZWwuUg==) | `99.08% <100.00%> (+0.30%)` | :arrow_up: | | [R/ggsurvey.R](https://codecov.io/gh/larmarange/ggstats/pull/25?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange#diff-Ui9nZ3N1cnZleS5S) | `88.88% <100.00%> (+13.88%)` | :arrow_up: | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Joseph+Larmarange)

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