README

dimfalk · Mar 1, 2024 · af4d1f7 · af4d1f7
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diff --git a/README.Rmd b/README.Rmd
@@ -50,7 +50,7 @@ library(kostra2010R)
 
 ### Get "INDEX_RC" based on row and column information
 
-Sometimes identification of grid cells is not accomplished using "INDEX_RC" directly but rather using a combination of X and Y information (e.g. column 11, row 49). This information can easily be used to generate the necessary "INDEX_RC" field.
+Sometimes identification of grid cells is not accomplished using "INDEX_RC" directly but rather using a combination of X and Y information (e.g. row 49, column 11). This information can easily be used to generate the necessary "INDEX_RC" field.
 
 ```{r}
 # Generate "INDEX_RC" based on row and column information.
@@ -215,7 +215,7 @@ xts
 
 ### Further utilization
 
-Data can now be visualized as intensity-duration-frequency curves using `plot_idf()`, underpinned by `{ggplot2}`...
+Data can additionally be visualized as intensity-duration-frequency curves using `plot_idf()`, underpinned by `{ggplot2}` ...
 
 ```{r}
 plot_idf(kostra)

diff --git a/README.md b/README.md
@@ -57,7 +57,7 @@ library(kostra2010R)
 
 Sometimes identification of grid cells is not accomplished using
 “INDEX_RC” directly but rather using a combination of X and Y
-information (e.g. column 11, row 49). This information can easily be
+information (e.g. row 49, column 11). This information can easily be
 used to generate the necessary “INDEX_RC” field.
 
 ``` r
@@ -363,8 +363,8 @@ xts
 
 ### Further utilization
 
-Data can now be visualized as intensity-duration-frequency curves using
-`plot_idf()`, underpinned by `{ggplot2}`…
+Data can additionally be visualized as intensity-duration-frequency
+curves using `plot_idf()`, underpinned by `{ggplot2}` …
 
 ``` r
 plot_idf(kostra)