From fa27f7de8494f5d94ac38df1681ddc7ab741a9f6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9mi=20Th=C3=A9riault?= <13123390+rempsyc@users.noreply.github.com> Date: Wed, 27 Sep 2023 20:13:12 -0400 Subject: [PATCH] shorten first page by one line to fit next section on next page for actual JOSE rendering --- papers/JOSE/paper.Rmd | 2 +- papers/JOSE/paper.log | 16 ++++++++-------- papers/JOSE/paper.md | 2 +- papers/JOSE/paper.pdf | Bin 195839 -> 195783 bytes .../JOSE/paper_files/figure-latex/model-1.pdf | Bin 5757 -> 5757 bytes vignettes/check_outliers.Rmd | 2 +- 6 files changed, 11 insertions(+), 11 deletions(-) diff --git a/papers/JOSE/paper.Rmd b/papers/JOSE/paper.Rmd index d2b4dbfe7..0351d0509 100644 --- a/papers/JOSE/paper.Rmd +++ b/papers/JOSE/paper.Rmd @@ -105,7 +105,7 @@ library(datawizard) # Summary -Beyond the challenge of keeping up-to-date with current best practices regarding the diagnosis and treatment of outliers, an additional difficulty arises concerning the mathematical implementation of the recommended methods. In this paper, we provide an overview of current recommendations and best practices and demonstrate how they can easily and conveniently be implemented in the R statistical computing software, using the *{performance}* package of the *easystats* ecosystem. We cover univariate, multivariate, and model-based statistical outlier detection methods, their recommended threshold, standard output, and plotting methods. We conclude with recommendations on the handling of outliers: the different theoretical types of outliers, whether to exclude or winsorize them, and the importance of transparency. +Beyond the challenge of keeping up-to-date with current best practices regarding the diagnosis and treatment of outliers, an additional difficulty arises concerning the mathematical implementation of the recommended methods. Here, we provide an overview of current recommendations and best practices and demonstrate how they can easily and conveniently be implemented in the R statistical computing software, using the *{performance}* package of the *easystats* ecosystem. We cover univariate, multivariate, and model-based statistical outlier detection methods, their recommended threshold, standard output, and plotting methods. We conclude by reviewing the different theoretical types of outliers, whether to exclude or winsorize them, and the importance of transparency. # Statement of Need diff --git a/papers/JOSE/paper.log b/papers/JOSE/paper.log index 046bb99c4..04911cf98 100644 --- a/papers/JOSE/paper.log +++ b/papers/JOSE/paper.log @@ -1,4 +1,4 @@ -This is XeTeX, Version 3.141592653-2.6-0.999995 (MiKTeX 23.5) (preloaded format=xelatex 2023.5.20) 27 SEP 2023 19:13 +This is XeTeX, Version 3.141592653-2.6-0.999995 (MiKTeX 23.5) (preloaded format=xelatex 2023.5.20) 27 SEP 2023 20:12 entering extended mode restricted \write18 enabled. %&-line parsing enabled. @@ -1268,7 +1268,7 @@ Package fancyhdr Warning: \headheight is too small (62.59596pt): (fancyhdr) \addtolength{\topmargin}{-1.71957pt}. LaTeX Font Info: Font shape `TU/lmss/m/it' in size <8> not available -(Font) Font shape `TU/lmss/m/sl' tried instead on input line 387. +(Font) Font shape `TU/lmss/m/sl' tried instead on input line 386. [1 ] @@ -1286,15 +1286,15 @@ Package fancyhdr Warning: \headheight is too small (62.59596pt): [2] 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 458. +(Font) Font shape `TU/lmtt/b/n' tried instead on input line 457. -Overfull \hbox (32.66139pt too wide) in paragraph at lines 474--474 +Overfull \hbox (32.66139pt too wide) in paragraph at lines 473--473 []\TU/lmtt/m/n/10 #> ---------------------------------------------------------- -------------------[] [] -Overfull \hbox (32.66139pt too wide) in paragraph at lines 483--483 +Overfull \hbox (32.66139pt too wide) in paragraph at lines 482--482 []\TU/lmtt/m/n/10 #> ---------------------------------------------------------- -------------------[] [] @@ -1366,19 +1366,19 @@ Package fancyhdr Warning: \headheight is too small (62.59596pt): (fancyhdr) \addtolength{\topmargin}{-1.71957pt}. [7] -Underfull \hbox (badness 1584) in paragraph at lines 919--925 +Underfull \hbox (badness 1584) in paragraph at lines 918--924 []\TU/lmr/m/n/10 Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-p ositive psy- [] -Underfull \hbox (badness 3049) in paragraph at lines 919--925 +Underfull \hbox (badness 3049) in paragraph at lines 918--924 \TU/lmr/m/n/10 chology: Undisclosed flexibility in data collection and analysis allows pre- [] -Underfull \hbox (badness 3735) in paragraph at lines 919--925 +Underfull \hbox (badness 3735) in paragraph at lines 918--924 \TU/lmr/m/n/10 senting anything as significant. \TU/lmr/m/it/10 Psychological S cience\TU/lmr/m/n/10 , \TU/lmr/m/it/10 22\TU/lmr/m/n/10 (11), 1359–1366. [] diff --git a/papers/JOSE/paper.md b/papers/JOSE/paper.md index 983f9824d..cc4deedbd 100644 --- a/papers/JOSE/paper.md +++ b/papers/JOSE/paper.md @@ -93,7 +93,7 @@ csl: apa.csl # Summary -Beyond the challenge of keeping up-to-date with current best practices regarding the diagnosis and treatment of outliers, an additional difficulty arises concerning the mathematical implementation of the recommended methods. In this paper, we provide an overview of current recommendations and best practices and demonstrate how they can easily and conveniently be implemented in the R statistical computing software, using the *{performance}* package of the *easystats* ecosystem. We cover univariate, multivariate, and model-based statistical outlier detection methods, their recommended threshold, standard output, and plotting methods. We conclude with recommendations on the handling of outliers: the different theoretical types of outliers, whether to exclude or winsorize them, and the importance of transparency. +Beyond the challenge of keeping up-to-date with current best practices regarding the diagnosis and treatment of outliers, an additional difficulty arises concerning the mathematical implementation of the recommended methods. Here, we provide an overview of current recommendations and best practices and demonstrate how they can easily and conveniently be implemented in the R statistical computing software, using the *{performance}* package of the *easystats* ecosystem. We cover univariate, multivariate, and model-based statistical outlier detection methods, their recommended threshold, standard output, and plotting methods. We conclude by reviewing the different theoretical types of outliers, whether to exclude or winsorize them, and the importance of transparency. # Statement of Need diff --git a/papers/JOSE/paper.pdf b/papers/JOSE/paper.pdf index 76bf20f3be338d90a945ebc5d52f26f571724f2e..e892a13d2e9b4eead96bc1995cf98b0a41194e7b 100644 GIT binary patch delta 19834 zcmagEW00oN)+|`IZQHi1%eIX!+j`5kZQDkdx@_CFT{ZpPb0g-SnTePmJK~A`Ggq$6 zTx&l+Z?Ge8u>Q@!@PYs~CIJB$XBQ_kBU>1c^((xISTgRrX^lffm)ae~ibY7U>fKf* z6v&~1DsOA6Q#GCoqLn)}c~g%^*YBIwv@Ia` z3vbU^JFXs)Pp8e=6*ZbB^Nn=b)xwB@ymSU<$z{o>Y=;2t(ZEI2QY&A?-qP#+ign3= z#9PJt&}gded)YlJmq7V_)yntN@R_F9Im}%U(XwA{OqFkspD%L(iKDPTIxvux0}6q* zj9c?tu8=^qF>?%u+uivNb3R22%Ty4AAg9tjl=L2un zGtl8wvk(sIP-n%(I|QFjiu!k(gd=ee#+m+^<q93xu|tbfBebLNh^^d za(I|ySqxy7ZI)pb3FOdf9#H1or2=tF7Tfs7k$V>Y8sGMVbK|L&Kkn9&jGpM$uN#1nqO1VBT&km7#F@@|%2MeSAy1+PdmhQEfd;Zm!7t{$|NVNGPuBCD_z znG};`a%Ffd33q+wVrYcM4F6@;De*H~C^#U*Rf+O16ermZ>D@sVn-$W^EK6F*2sr`bowc7Muny1uyC1yo4qn&m8_LYE*MWWiW9_SJi5PnNubc6t^SzPG(-sW<=z 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kU!3qvDIV*?XIb0ZT|Lvt557jruW8-hw=73}P| Zic1oUN-By{)3{8HO$@nIRbBnvxB&1$DOdmi delta 165 zcmeyX^H*m>GrN+ZrJ=ErsV0}cZ+?nPVo9okhKrSvfswI+rI9&AZu3(1O+0L1w%O!Z z5m_j6bA!ly#yCdwDjom; diff --git a/vignettes/check_outliers.Rmd b/vignettes/check_outliers.Rmd index 804be2432..b4fe221ed 100644 --- a/vignettes/check_outliers.Rmd +++ b/vignettes/check_outliers.Rmd @@ -46,7 +46,7 @@ if (can_evaluate) { # Summary -Beyond the challenge of keeping up-to-date with current best practices regarding the diagnosis and treatment of outliers, an additional difficulty arises concerning the mathematical implementation of the recommended methods. In this paper, we provide an overview of current recommendations and best practices and demonstrate how they can easily and conveniently be implemented in the R statistical computing software, using the *{performance}* package of the *easystats* ecosystem. We cover univariate, multivariate, and model-based statistical outlier detection methods, their recommended threshold, standard output, and plotting methods. We conclude with recommendations on the handling of outliers: the different theoretical types of outliers, whether to exclude or winsorize them, and the importance of transparency. +Beyond the challenge of keeping up-to-date with current best practices regarding the diagnosis and treatment of outliers, an additional difficulty arises concerning the mathematical implementation of the recommended methods. In this vignette, we provide an overview of current recommendations and best practices and demonstrate how they can easily and conveniently be implemented in the R statistical computing software, using the *{performance}* package of the *easystats* ecosystem. We cover univariate, multivariate, and model-based statistical outlier detection methods, their recommended threshold, standard output, and plotting methods. We conclude with recommendations on the handling of outliers: the different theoretical types of outliers, whether to exclude or winsorize them, and the importance of transparency. # Statement of Need