minor

README.Rmd

@@ -59,15 +59,15 @@ This notion of _risk_ is typically contrasted with the much wider notion of _unc
 
 <!-- On "riskyr": -->
 
-Basic assumptions and goals driving the current development of `riskyr` include:
+The basic assumptions and aspirations driving the current development of `riskyr` include:
 
 1. Effective training in risk literacy requires transparent representations, smart strategies, and simple tools. 
 
-2. We aim to provide a set of (computational and representational) tools that facilitate various calculations, translations between formats, and a range of alternative views on the interplay between probabilities and frequencies. 
+2. We aim to provide a set of (computational and representational) functions that facilitate various calculations, translations between formats, and enable a range of alternative views on the interplay between probabilities and frequencies. 
 
 3. Just as no single tool fits all tasks, no single graph illustrates all aspects of a problem. A variety of visualizations that illustrate the interplay of parameters and metrics can facilitate active and explorative learning. It is particularly helpful to view relationships from alternative perspectives and to observe the change of one parameter as a function of others. 
 
-Based on these assumptions and goals, we provide a range of computational and representational tools. Importantly, the objects and functions in the `riskyr` toolbox are not isolated, but complement, explain, and support each other. All functions and visualizations can also be used separately and explored interactively, providing immediate feedback on the effect of changes in parameter values. By providing a variety of customization options, users can explore and design representations of risk-related information that suit their personal needs and goals.  
+Based on these assumptions and goals, `riskyr` provides a range of computational and representational tools. Importantly, the objects and functions in the `riskyr` toolbox are not isolated, but complement, explain, and support each other. All functions and visualizations can be used separately or explored interactively, providing immediate feedback on the effect of changes in parameter values. By providing a variety of customization options, users can explore and design representations of risk-related information that fit to different tasks and meet their personal needs and goals.  
 
 
 ## Getting riskyr
@@ -81,7 +81,7 @@ install.packages("riskyr")  # install riskyr from CRAN client
 library("riskyr")           # load to use the package
 ```
 
-- The most recent development version can be installed from its [GitHub](https://github.com) repository at <https://github.com/hneth/riskyr/>: 
+- The current development version can be installed from its [GitHub](https://github.com) repository at <https://github.com/hneth/riskyr/>: 
 
 ```{r install_github, echo = TRUE, eval = FALSE}
 # install.packages("devtools")
@@ -90,7 +90,7 @@ devtools::install_github("hneth/riskyr")
 
 ### Available resources
 
-- An **interactive online version** is available at <http://riskyr.org>. 
+- An **interactive online version** can be used at <http://riskyr.org>. 
 
 - The **package documentation** is available online:  
     - current release version: <https://hneth.github.io/riskyr/> 

README.md

@@ -30,15 +30,15 @@ The goals of `riskyr` are less of a *computational* and more of a *representatio
 
 <!-- Defining "risk" (in footnote): -->
 <!-- On "riskyr": -->
-Basic assumptions and goals driving the current development of `riskyr` include:
+The basic assumptions and aspirations driving the current development of `riskyr` include:
 
 1.  Effective training in risk literacy requires transparent representations, smart strategies, and simple tools.
 
-2.  We aim to provide a set of (computational and representational) tools that facilitate various calculations, translations between formats, and a range of alternative views on the interplay between probabilities and frequencies.
+2.  We aim to provide a set of (computational and representational) functions that facilitate various calculations, translations between formats, and enable a range of alternative views on the interplay between probabilities and frequencies.
 
 3.  Just as no single tool fits all tasks, no single graph illustrates all aspects of a problem. A variety of visualizations that illustrate the interplay of parameters and metrics can facilitate active and explorative learning. It is particularly helpful to view relationships from alternative perspectives and to observe the change of one parameter as a function of others.
 
-Based on these assumptions and goals, we provide a range of computational and representational tools. Importantly, the objects and functions in the `riskyr` toolbox are not isolated, but complement, explain, and support each other. All functions and visualizations can also be used separately and explored interactively, providing immediate feedback on the effect of changes in parameter values. By providing a variety of customization options, users can explore and design representations of risk-related information that suit their personal needs and goals.
+Based on these assumptions and goals, `riskyr` provides a range of computational and representational tools. Importantly, the objects and functions in the `riskyr` toolbox are not isolated, but complement, explain, and support each other. All functions and visualizations can be used separately or explored interactively, providing immediate feedback on the effect of changes in parameter values. By providing a variety of customization options, users can explore and design representations of risk-related information that fit to different tasks and meet their personal needs and goals.
 
 Getting riskyr
 --------------
@@ -52,7 +52,7 @@ install.packages("riskyr")  # install riskyr from CRAN client
 library("riskyr")           # load to use the package
 ```
 
--   The most recent development version can be installed from its [GitHub](https://github.com) repository at <https://github.com/hneth/riskyr/>:
+-   The current development version can be installed from its [GitHub](https://github.com) repository at <https://github.com/hneth/riskyr/>:
 
 ``` r
 # install.packages("devtools")
@@ -61,7 +61,7 @@ devtools::install_github("hneth/riskyr")
 
 ### Available resources
 
--   An **interactive online version** is available at <http://riskyr.org>.
+-   An **interactive online version** can be used at <http://riskyr.org>.
 
 -   The **package documentation** is available online:
     -   current release version: <https://hneth.github.io/riskyr/>
@@ -531,7 +531,7 @@ Calling `citation("riskyr")` in the package also displays this information.
 -   Wassner, C., Martignon, L., & Biehler, R. (2004). Bayesianisches Denken in der Schule. *Unterrichtswissenschaft*, *32*, 58–96.
 
 <!-- Update: -->
-\[Updated 2019-01-13 by [hn](http://neth.de).\]
+\[Updated 2019-01-18 by [hn](http://neth.de).\]
 
 <!-- eof -->