📝 README clean-up

README.md

@@ -1072,7 +1072,7 @@ This package was originally developed while the author was a postdoctoral fellow
 
 ### Acknowledgments
 
-The [`messer()`](R/messer.R) function functionalizes the code found in [Hruska et al. (2022)](https://doi.org/10.1016/j.janxdis.2022.102529) available on an [OSF repository](https://doi.org/10.17605/OSF.IO/M2SAV), but with percent with income less than $30K added to the computation based on [Messer et al. (2006)](https://doi.org/10.1007/s11524-006-9094-x). The [`messer()`](R/messer.R) function also allows for the computation of NDI (Messer) for each year between 2010-2020 (when the U.S. census characteristics are available to date). There was no code companion to compute NDI (Powell-Wiley) included in [Andrews et al. (2020)](https://doi.org/10.1080/17445647.2020.1750066) or [Slotman et al. (2022)](https://doi.org/10.1016/j.dib.2022.108002), but the package author worked directly with the latter manuscript authors to replicate their [*SAS*](https://www.sas.com) code in [**R**](https://cran.r-project.org/) for the [`powell_wiley()`](R/powell_wiley.R) function. Please note: the NDI (Powell-Wiley) values will not exactly match (but will highly correlate with) those found in [Andrews et al. (2020)](https://doi.org/10.1080/17445647.2020.1750066) and [Slotman et al. (2022)](https://doi.org/10.1016/j.dib.2022.108002) because the two studies used a different statistical platform (i.e., [*SPSS*](https://www.ibm.com/spss) and [*SAS*](https://www.sas.com), respectively) that intrinsically calculate the principal component analysis differently from [**R**](https://cran.r-project.org/). The internal function to calculate the Atkinson Index is based on the `atkinson()` function in the [*DescTools*](https://cran.r-project.org/package=DescTools) package.
+The [`messer()`](R/messer.R) function functionalizes the code found in [Hruska et al. (2022)](https://doi.org/10.1016/j.janxdis.2022.102529) available on an [OSF repository](https://doi.org/10.17605/OSF.IO/M2SAV), but with percent with income less than $30K added to the computation based on [Messer et al. (2006)](https://doi.org/10.1007/s11524-006-9094-x). The [`messer()`](R/messer.R) function also allows for the computation of *NDI* (Messer) for each year between 2010-2020 (when the U.S. census characteristics are available to date). There was no code companion to compute *NDI* (Powell-Wiley) included in [Andrews et al. (2020)](https://doi.org/10.1080/17445647.2020.1750066) or [Slotman et al. (2022)](https://doi.org/10.1016/j.dib.2022.108002) only a [description](https://www.gis.cancer.gov/research/NeighDeprvIndex_Methods.pdf), but the package author worked directly with the latter manuscript authors to replicate their [*SAS*](https://www.sas.com) code in [**R**](https://cran.r-project.org/) for the [`powell_wiley()`](R/powell_wiley.R) function. See the Accumulating Data to Optimally Predict Obesity Treatment [(ADOPT)](https://gis.cancer.gov/research/adopt.html) Core Measures Project for more details. Please note: the *NDI* (Powell-Wiley) values will not exactly match (but will highly correlate with) those found in [Andrews et al. (2020)](https://doi.org/10.1080/17445647.2020.1750066) and [Slotman et al. (2022)](https://doi.org/10.1016/j.dib.2022.108002) because the two studies used a different statistical platform (i.e., [*SPSS*](https://www.ibm.com/spss) and [*SAS*](https://www.sas.com), respectively) that intrinsically calculate the principal component analysis differently from [**R**](https://cran.r-project.org/). The internal function to calculate the Atkinson Index is based on the `atkinson()` function in the [*DescTools*](https://cran.r-project.org/package=DescTools) package.
 
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