From 7ca3a07cbde3568bf5a30e8e671f7926924ad76d Mon Sep 17 00:00:00 2001 From: rempsyc Date: Tue, 11 Feb 2025 11:10:54 -0500 Subject: [PATCH] print(select = "minimal") --- paper/paper.Rmd | 3 +- paper/paper.log | 96 +++++++++++----------- paper/paper.md | 77 ++++++++--------- paper/paper.pdf | Bin 191146 -> 191006 bytes paper/paper_files/figure-latex/fig1-1.pdf | Bin 7279 -> 7279 bytes 5 files changed, 82 insertions(+), 94 deletions(-) diff --git a/paper/paper.Rmd b/paper/paper.Rmd index 1677a4e5..bdf38d6f 100644 --- a/paper/paper.Rmd +++ b/paper/paper.Rmd @@ -220,7 +220,8 @@ library(easystats) model <- lm(Petal.Width ~ Petal.Length * Species, data = iris) -parameters::parameters(model) +parameters::parameters(model) |> + print(select = "minimal") ``` The model's **parameters** can be challenging to interpret and do not offer us all the insights that this model actually contains. diff --git a/paper/paper.log b/paper/paper.log index cc0587f9..4576799f 100644 --- a/paper/paper.log +++ b/paper/paper.log @@ -1,4 +1,4 @@ -This is XeTeX, Version 3.141592653-2.6-0.999995 (TeX Live 2023) (preloaded format=xelatex 2023.12.17) 10 FEB 2025 16:44 +This is XeTeX, Version 3.141592653-2.6-0.999995 (TeX Live 2023) (preloaded format=xelatex 2023.12.17) 11 FEB 2025 11:07 entering extended mode restricted \write18 enabled. %&-line parsing enabled. @@ -1022,45 +1022,30 @@ Package fancyhdr Warning: \headheight is too small (62.59596pt): [3] LaTeX Font Info: Font shape `TU/lmtt/bx/n' in size <10> not available -(Font) Font shape `TU/lmtt/b/n' tried instead on input line 577. +(Font) Font shape `TU/lmtt/b/n' tried instead on input line 584. -Overfull \hbox (6.41139pt too wide) in paragraph at lines 586--586 -[]\TU/lmtt/m/n/10 #> Parameter | Coefficient | SE | 95% CI +Overfull \hbox (16.91139pt too wide) in paragraph at lines 594--594 +[]\TU/lmtt/m/n/10 #> Parameter | Coefficient | 95% CI | p [] -Overfull \hbox (6.41139pt too wide) in paragraph at lines 587--587 -[]\TU/lmtt/m/n/10 #> ------------------------------------------------------------------------[] +Overfull \hbox (16.91139pt too wide) in paragraph at lines 595--595 +[]\TU/lmtt/m/n/10 #> --------------------------------------------------------------------------[] [] -Overfull \hbox (6.41139pt too wide) in paragraph at lines 588--588 -[]\TU/lmtt/m/n/10 #> (Intercept) | -0.05 | 0.21 | [-0.47, 0.38][] +Overfull \hbox (11.66139pt too wide) in paragraph at lines 596--596 +[]\TU/lmtt/m/n/10 #> (Intercept) | -0.05 | [-0.47, 0.38] | 0.823[] [] -Overfull \hbox (6.41139pt too wide) in paragraph at lines 589--589 -[]\TU/lmtt/m/n/10 #> Petal Length | 0.20 | 0.15 | [-0.09, 0.49][] +Overfull \hbox (11.66139pt too wide) in paragraph at lines 597--597 +[]\TU/lmtt/m/n/10 #> Petal Length | 0.20 | [-0.09, 0.49] | 0.170[] [] -Overfull \hbox (6.41139pt too wide) in paragraph at lines 590--590 -[]\TU/lmtt/m/n/10 #> Species [versicolor] | -0.04 | 0.32 | [-0.66, 0.59][] - [] - - -Overfull \hbox (6.41139pt too wide) in paragraph at lines 591--591 -[]\TU/lmtt/m/n/10 #> Species [virginica] | 1.18 | 0.33 | [ 0.52, 1.84][] - [] - - -Overfull \hbox (6.41139pt too wide) in paragraph at lines 592--592 -[]\TU/lmtt/m/n/10 #> Petal Length × Species [versicolor] | 0.13 | 0.16 | [-0.18, 0.44][] - [] - - -Overfull \hbox (6.41139pt too wide) in paragraph at lines 593--593 -[]\TU/lmtt/m/n/10 #> Petal Length × Species [virginica] | -0.04 | 0.15 | [-0.34, 0.26][] +Overfull \hbox (11.66139pt too wide) in paragraph at lines 598--598 +[]\TU/lmtt/m/n/10 #> Species [versicolor] | -0.04 | [-0.66, 0.59] | 0.909[] [] File: D:/Rpackages/rticles/rmarkdown/templates/joss/resources/JOSS-logo.png Graphic file (type bmp) @@ -1073,7 +1058,22 @@ Package fancyhdr Warning: \headheight is too small (62.59596pt): (fancyhdr) \addtolength{\topmargin}{-0.95425pt}. [4] -Overfull \hbox (1.16139pt too wide) in paragraph at lines 607--607 +Overfull \hbox (16.91139pt too wide) in paragraph at lines 599--599 +[]\TU/lmtt/m/n/10 #> Species [virginica] | 1.18 | [ 0.52, 1.84] | < .001[] + [] + + +Overfull \hbox (11.66139pt too wide) in paragraph at lines 600--600 +[]\TU/lmtt/m/n/10 #> Petal Length × Species [versicolor] | 0.13 | [-0.18, 0.44] | 0.405[] + [] + + +Overfull \hbox (11.66139pt too wide) in paragraph at lines 601--601 +[]\TU/lmtt/m/n/10 #> Petal Length × Species [virginica] | -0.04 | [-0.34, 0.26] | 0.789[] + [] + + +Overfull \hbox (1.16139pt too wide) in paragraph at lines 606--606 []\TU/lmtt/m/n/10 #> Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed[] [] @@ -1089,35 +1089,30 @@ Package fancyhdr Warning: \headheight is too small (62.59596pt): (fancyhdr) \addtolength{\topmargin}{-0.95425pt}. [5] -Overfull \hbox (32.66139pt too wide) in paragraph at lines 676--676 +Overfull \hbox (32.66139pt too wide) in paragraph at lines 675--675 []\TU/lmtt/m/n/10 #> Level1 | Level2 | Difference | SE | 95% CI | t(144) | p[] [] -Overfull \hbox (32.66139pt too wide) in paragraph at lines 677--677 +Overfull \hbox (32.66139pt too wide) in paragraph at lines 676--676 []\TU/lmtt/m/n/10 #> -----------------------------------------------------------------------------[] [] -Overfull \hbox (32.66139pt too wide) in paragraph at lines 678--678 +Overfull \hbox (32.66139pt too wide) in paragraph at lines 677--677 []\TU/lmtt/m/n/10 #> versicolor | setosa | 0.45 | 0.34 | [-0.22, 1.12] | 1.34 | 0.183[] [] -Overfull \hbox (32.66139pt too wide) in paragraph at lines 679--679 +Overfull \hbox (32.66139pt too wide) in paragraph at lines 678--678 []\TU/lmtt/m/n/10 #> virginica | setosa | 1.03 | 0.35 | [ 0.35, 1.72] | 2.97 | 0.003[] [] -Overfull \hbox (32.66139pt too wide) in paragraph at lines 680--680 +Overfull \hbox (32.66139pt too wide) in paragraph at lines 679--679 []\TU/lmtt/m/n/10 #> virginica | versicolor | 0.58 | 0.09 | [ 0.39, 0.76] | 6.18 | < .001[] [] - -Overfull \hbox (27.41139pt too wide) in paragraph at lines 734--734 -[]\TU/lmtt/m/n/10 #> Level1 | Level2 | Difference | SE | 95% CI | t | p[] - [] - File: D:/Rpackages/rticles/rmarkdown/templates/joss/resources/JOSS-logo.png Graphic file (type bmp) @@ -1128,27 +1123,32 @@ Package fancyhdr Warning: \headheight is too small (62.59596pt): (fancyhdr) \addtolength{\topmargin}{-0.95425pt}. [6] -Overfull \hbox (27.41139pt too wide) in paragraph at lines 735--735 +Overfull \hbox (27.41139pt too wide) in paragraph at lines 733--733 +[]\TU/lmtt/m/n/10 #> Level1 | Level2 | Difference | SE | 95% CI | t | p[] + [] + + +Overfull \hbox (27.41139pt too wide) in paragraph at lines 734--734 []\TU/lmtt/m/n/10 #> ----------------------------------------------------------------------------[] [] -Overfull \hbox (27.41139pt too wide) in paragraph at lines 736--736 +Overfull \hbox (27.41139pt too wide) in paragraph at lines 735--735 []\TU/lmtt/m/n/10 #> versicolor | setosa | 0.13 | 0.16 | [-0.17, 0.43] | 0.83 | 0.404[] [] -Overfull \hbox (27.41139pt too wide) in paragraph at lines 737--737 +Overfull \hbox (27.41139pt too wide) in paragraph at lines 736--736 []\TU/lmtt/m/n/10 #> virginica | setosa | -0.04 | 0.15 | [-0.34, 0.26] | -0.27 | 0.789[] [] -Overfull \hbox (27.41139pt too wide) in paragraph at lines 738--738 +Overfull \hbox (27.41139pt too wide) in paragraph at lines 737--737 []\TU/lmtt/m/n/10 #> virginica | versicolor | -0.17 | 0.07 | [-0.31, -0.03] | -2.41 | 0.016[] [] -Underfull \hbox (badness 2913) in paragraph at lines 773--780 +Underfull \hbox (badness 2913) in paragraph at lines 772--779 [][][][][][] [] [][] [] [][][][][][][][][][]$[][]\TU/lmr/m/n/10 ), on CRAN ([][]$[][][][][] [] [] [] [][][][] [] [][][][][][][][][][] [] [][][] [] [][][][][][][] [] [][][][][][][][][][]$[][]), [] @@ -1177,18 +1177,18 @@ LaTeX2e <2023-11-01> L3 programming layer <2023-12-11> *********** Package rerunfilecheck Info: File `paper.out' has not changed. -(rerunfilecheck) Checksum: 48AF35DA9C25E03C31F3C7D72DA8E17E;3073. +(rerunfilecheck) Checksum: 83DC0EB39C7D4A50E6BAB85C2D4E1E50;3422. Package logreq Info: Writing requests to 'paper.run.xml'. \openout1 = `paper.run.xml'. ) Here is how much of TeX's memory you used: - 36675 strings out of 476836 - 753490 string characters out of 5803150 + 36678 strings out of 476836 + 753530 string characters out of 5803150 1947109 words of memory out of 5000000 - 58086 multiletter control sequences out of 15000+600000 + 58089 multiletter control sequences out of 15000+600000 564965 words of font info for 87 fonts, out of 8000000 for 9000 14 hyphenation exceptions out of 8191 - 84i,12n,87p,1194b,850s stack positions out of 10000i,1000n,20000p,200000b,200000s + 84i,13n,87p,1194b,850s stack positions out of 10000i,1000n,20000p,200000b,200000s Output written on paper.pdf (8 pages). diff --git a/paper/paper.md b/paper/paper.md index d4c1b281..27cec36c 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -35,10 +35,10 @@ authors: affiliations: - name: School of Psychology, University of Sussex, Brighton, UK index: 1 - + - name: Sussex Centre for Consciousness Science, University of Sussex, Brighton, UK index: 2 - + - name: Independent Researcher, Ramat Gan, Israel index: 3 @@ -55,7 +55,7 @@ affiliations: index: 7 correspondence: D.Makowski@sussex.ac.uk. type: article -date: "2025-02-10" +date: "2025-02-11" bibliography: paper.bib # abstract: | # The `modelbased` package provides a straightforward approach to computing and visualizing model-based estimates in R, including marginal means, contrasts, slopes, and predictions. Designed as part of the easystats ecosystem, it streamlines post-hoc analysis and model interpretation across a wide range of statistical models. While tools like `emmeans` and `marginaleffects` offer similar functionality, `modelbased` prioritizes ease of use, making it more accessible to researchers without extensive statistical programming expertise. By integrating modern workflows for effect estimation and visualization, modelbased enhances the interpretability and reproducibility of statistical analyses in psychological and social sciences. @@ -85,16 +85,13 @@ csl: apa.csl # Statement of need -Applied statistics have historically focused on statistical *tests* (e.g., *t* tests, correlation tests, and analyses of variances, ANOVAs), seen as most apt to provide researchers with interpretable answers to the questions they seek. -However, these tests typically rely on statistical *models*—the true underlying cornerstone of modern data science. -The replication crisis [@OSC2015estimating; @camerer2018evaluating] and methodological revolutions [@makowski2023we] have underlined some of the issues with the traditional focus on statistical tests (e.g., the effacement of model assumptions, a focus on null-hypothesis testing, non-compatibility with more complex variance structures) and called for shifting the focus to the models themselves. +Applied statistics have historically focused on statistical *tests* (e.g., *t* tests, correlation tests, and analyses of variances, ANOVAs), seen as most apt to provide researchers with interpretable answers to the questions they seek. However, these tests typically rely on statistical *models*—the true underlying cornerstone of modern data science. The replication crisis [@OSC2015estimating; @camerer2018evaluating] and methodological revolutions [@makowski2023we] have underlined some of the issues with the traditional focus on statistical tests (e.g., the effacement of model assumptions, a focus on null-hypothesis testing, non-compatibility with more complex variance structures) and called for shifting the focus to the models themselves. In line with these efforts, new tools have been created to facilitate the direct usage and reporting of statistical models. For instance, the `easystats` collection of R packages [@easystatspackage] has been developed to help researchers "tame, discipline, and harness" the power of statistical models. Existing packages are dedicated to model parameters [the `parameters` package, @ludecke2020extracting], predictive performance [the `performance` package, @ludecke2021performance] or effect importance [the `effectsize` package, @ben2020effectsize]. **But the models themselves hide even more critical information!** -The fundamental nature of these models—a statistical link between an outcome $y$ and predictor variables $X$—enables the generation of predictions for any combination of predictors, observed or unobserved alike. -These predictions refer to expected values of the outcome for given levels of predictors of interest, as well as contrasting them, making it possible to visualize the model's behaviour in a more meaningful and comprehensive way, and answering a broad range of research questions. +The fundamental nature of these models—a statistical link between an outcome $y$ and predictor variables $X$—enables the generation of predictions for any combination of predictors, observed or unobserved alike. These predictions refer to expected values of the outcome for given levels of predictors of interest, as well as contrasting them, making it possible to visualize the model's behaviour in a more meaningful and comprehensive way, and answering a broad range of research questions. The two most popular R packages for extracting these quantities of interest from statistical models are `emmeans` [@russell2024emmeans] and `marginaleffects` [@arel2024interpret]. These packages pack an enormously rich set of features and cover (almost) all imaginable needs for post-hoc analysis of statistical models. However, their power and flexibility come at a cost: ease of use—especially for users not familiar with the underlying statistical concepts. The `modelbased` package, built on top of these two packages, aims to unleash this vast, untapped potential by providing a unified interface to extract marginal means, marginal effects, contrasts, comparisons, and model predictions from a wide range of statistical models. In line with the `easystats`' *raison d'être*, the `modelbased` package focuses on simplicity, flexibility, and user-friendliness to help researchers harness the full power of their models. @@ -103,20 +100,15 @@ The two most popular R packages for extracting these quantities of interest from ## Terminology -Answering research questions based on statistical models means describing the relationship between predictors (also called *focal terms*) of interest and the outcome, as well as differences between observed groups in the sample. There are two ways of representing this relationship: _predictions_ and _marginal estimates_. -1) We can describe this relationship (i.e., estimate the expected outcome value) for a very "specific" observation that is defined by a combination of predictor values (that may or may not actually appear in our data). This is what we call _predictions_. -2) Or, we can express the relationship considering an "average" or "typical" observation (i.e., estimating the _average_ relationship between predictors and an outcome). We call this _marginal means_. +Answering research questions based on statistical models means describing the relationship between predictors (also called *focal terms*) of interest and the outcome, as well as differences between observed groups in the sample. There are two ways of representing this relationship: _predictions_ and _marginal estimates_. +1) We can describe this relationship (i.e., estimate the expected outcome value) for a very "specific" observation that is defined by a combination of predictor values (that may or may not actually appear in our data). This is what we call _predictions_. +2) Or, we can express the relationship considering an "average" or "typical" observation (i.e., estimating the _average_ relationship between predictors and an outcome). We call this _marginal means_. ## Predictions At a fundamental level, `modelbased` and similar packages leverage model *predictions*. -These predictions can be of different types, depending on the model and the question at hand. -For instance, predictions can be associated with **confidence intervals** (`predict = "expectation"`) or **prediction intervals** (`predict = "prediction"`). -The former corresponds to the uncertainty around the "relationship" (i.e., the conditional estimate, typically of the expectation ($E[X]$) according to a model's parameters), -while the latter is typically larger and provides information about the range which individual observations might take (e.g., _around_ the expectation $E[X]$). -Moreover, for generalized linear models (GLMs), predictions can be made on the **response scale** (`predict = "response"`) or the **link scale** (`predict = "link"`). -This corresponds for instance to predictions in terms of probability (response scale) or log odds (link scale) for logistic regression models. +These predictions can be of different types, depending on the model and the question at hand. For instance, predictions can be associated with **confidence intervals** (`predict = "expectation"`) or **prediction intervals** (`predict = "prediction"`). The former corresponds to the uncertainty around the "relationship" (i.e., the conditional estimate, typically of the expectation ($E[X]$) according to a model's parameters), while the latter is typically larger and provides information about the range which individual observations might take (e.g., _around_ the expectation $E[X]$). Moreover, for generalized linear models (GLMs), predictions can be made on the **response scale** (`predict = "response"`) or the **link scale** (`predict = "link"`). This corresponds for instance to predictions in terms of probability (response scale) or log odds (link scale) for logistic regression models. These different types of estimates can be obtained for observations in the original dataset—which is useful to assess the model's goodness-of-fit—or for new data (typically a "data grid")—which is useful for visualization. @@ -132,22 +124,25 @@ For convenience, the `modelbased` package includes four related functions, which Which function to use depends on the model and the research question at hand (visualizing effects, generating predictions, etc.). -## Marginal means and effects +## Marginal means + +The concept of "marginal" in this context refers to how non-focal variables are treated. While predictions, as described above, fix non-focal variables at their reference level, marginal means compute the empirical or theoretical averages of them. These kind of predictions are a good representation of the sample, because they are not based on very specific characteristics. E.g., predictions are made for _female_ persons with _high_ income, while marginal means calculate the expected outcome for an _average_ observation. -The concept of "marginal" in statistical modeling typically refers to the analysis of the effect of one or more "focus" variables while all other variables are held constant at specific values -(e.g., their empirical or theoretical average or reference value). -This, in turn, facilitates understanding the effect of a variable in a complex model, where multiple variables interact with each other. +The `modelbased` package provides a simple and clear interface to extract marginal means via the `estimate_means()` function, which can be considered as "marginal" pendant to `estimate_relation()`. `estimate_means()` typically returns results in line with the _emmeans_ package. -The `modelbased` package simplifies the extraction of these quantities by providing a clear interface to understand how different predictors interact with outcomes in various scenarios. +## Marginal effects -- `estimate_means()`: computes **Marginal Means**—the average predictions for each level of a categorical predictor, averaged across all levels of other predictors. -- `estimate_contrasts()`: computes **Marginal Contrasts**—the comparison of marginal means at different levels of a factor to assess differences or effects. -- `estimate_slopes()`: computes **Marginal Effects**—the change in the response variable for an infinitesimal change in a predictor, averaged across all levels of other predictors. Marginal effects are essentially the partial derivatives of the response with respect to each predictor (useful for continuous predictors) and describe the average strength of an effect. +Predictions and marginal means can be used to better understand the _relationship_ of predictors with the outcome. They tell you that "the average health score for a person at the age of sixty is 80 points". Marginal _effects_, in turn, evaluate the (average) _strength_ of an effect (also called "slope"), telling you that "the average effect of age on the health score is an decrease 5 points". +For the simple case of linear regression without interaction terms, the regression coefficient (slope) equals the marginal effect. However, in even slightly more complex situations (e.g., when interaction terms are involved, or logistic regression models), the slope is not constant across the predictor's values. Here we can estimate an _average_ slope, or marginal effect. -**[TODO: details about types of marginalization]** +Again, the `modelbased` package has a simple function to do so, `estimate_slopes()`. This function calculates the _trend_ or average effect, usually for numeric predictors. -`modelbased` provides two types of "marginalization": +## Contrasts + +## Counterfactual / ATE + +`modelbased` provides two types of "marginalization": - `estimate = "average"` (default): TODO - `estimate = "population"`: TODO @@ -212,27 +207,19 @@ library(easystats) model <- lm(Petal.Width ~ Petal.Length * Species, data = iris) -parameters::parameters(model) +parameters::parameters(model) |> + print(select = "minimal") ``` ``` -#> Parameter | Coefficient | SE | 95% CI -#> ------------------------------------------------------------------------ -#> (Intercept) | -0.05 | 0.21 | [-0.47, 0.38] -#> Petal Length | 0.20 | 0.15 | [-0.09, 0.49] -#> Species [versicolor] | -0.04 | 0.32 | [-0.66, 0.59] -#> Species [virginica] | 1.18 | 0.33 | [ 0.52, 1.84] -#> Petal Length × Species [versicolor] | 0.13 | 0.16 | [-0.18, 0.44] -#> Petal Length × Species [virginica] | -0.04 | 0.15 | [-0.34, 0.26] -#> -#> Parameter | t(144) | p -#> ----------------------------------------------------- -#> (Intercept) | -0.22 | 0.823 -#> Petal Length | 1.38 | 0.170 -#> Species [versicolor] | -0.11 | 0.909 -#> Species [virginica] | 3.54 | < .001 -#> Petal Length × Species [versicolor] | 0.83 | 0.405 -#> Petal Length × Species [virginica] | -0.27 | 0.789 +#> Parameter | Coefficient | 95% CI | p +#> -------------------------------------------------------------------------- +#> (Intercept) | -0.05 | [-0.47, 0.38] | 0.823 +#> Petal Length | 0.20 | [-0.09, 0.49] | 0.170 +#> Species [versicolor] | -0.04 | [-0.66, 0.59] | 0.909 +#> Species [virginica] | 1.18 | [ 0.52, 1.84] | < .001 +#> Petal Length × Species [versicolor] | 0.13 | [-0.18, 0.44] | 0.405 +#> Petal Length × Species [virginica] | -0.04 | [-0.34, 0.26] | 0.789 ``` ``` diff --git a/paper/paper.pdf b/paper/paper.pdf index 3bc3b58e7124500a92b85bc0cb8aff25618e949e..57592e47b7e015b18c9e8cec30af4be91c7ab4cb 100644 GIT binary patch delta 48621 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