updating

TODO.txt

@@ -0,0 +1,9 @@
+# TODO
+
+- guardare tutti i TODO. Installa il pacchetto todor e fai todor::todor() e tutti i TODO compaiono puoi facilmente guardarli. Poi cancella il commento con TODO [ambra]
+
+- togliere riferimenti sul paper riguardo ai modelli lineari standardizzati, credo sia meglio non fare delle funzioni di standardizzazione ma dire semplicemente che fittando un modello su dati standardizzati si possono avere poi gli effect size critici dei beta e non semplicemente i beta critici [enrico]
+
+# NOTE
+
+- 22/08/2024: ho aggiornato il paper con criticalESvalue dove viene caricato e con il link giusto

paper/paper.Rmd

@@ -128,7 +128,7 @@ To provide more tangible illustrations of the practical applications of critical
 
 # How to Compute Critical Effect Size Values
 
-In this section, we provide guidance and formulas for computing critical effect size values in general, with examples for frequently encountered effect sizes including Standardized Mean Differences (Cohen's $d$), correlations (Pearson's r), and raw and standardized coefficients in linear models. These formulas have been incorporated into R functions of the package "criticalESvalue" accessible at: https://github.com/psicostat/criticalESvalue, and are elaborated upon in the subsequent section.
+In this section, we provide guidance and formulas for computing critical effect size values in general, with examples for frequently encountered effect sizes including Standardized Mean Differences (Cohen's $d$), correlations (Pearson's r), and raw and standardized coefficients in linear models. These formulas have been incorporated into R functions of the package `criticalESvalue` accessible at: [https://github.com/psicostat/criticalESvalue](https://github.com/psicostat/criticalESvalue), and are elaborated upon in the subsequent section.
 
 ## t-test
 

paper/paper.tex

@@ -285,7 +285,7 @@
 
 \section{How to Compute Critical Effect Size Values}\label{how-to-compute-critical-effect-size-values}
 
-In this section, we provide guidance and formulas for computing critical effect size values in general, with examples for frequently encountered effect sizes including Standardized Mean Differences (Cohen's \(d\)), correlations (Pearson's r), and raw and standardized coefficients in linear models. These formulas have been incorporated into R functions of the package ``criticalESvalue'' accessible at: \url{https://github.com/psicostat/criticalESvalue}, and are elaborated upon in the subsequent section.
+In this section, we provide guidance and formulas for computing critical effect size values in general, with examples for frequently encountered effect sizes including Standardized Mean Differences (Cohen's \(d\)), correlations (Pearson's r), and raw and standardized coefficients in linear models. These formulas have been incorporated into R functions of the package \texttt{criticalESvalue} accessible at: \url{https://github.com/psicostat/criticalESvalue}, and are elaborated upon in the subsequent section.
 
 \subsection{t-test}\label{t-test}