R-genomics
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Lesson on data analysis and visualization in R for genomics
Hi, This PR adds an example (using the previous one) for the PDF export Bérénice
Have identified a set of typos throughout the contents of the lessons and some inconsistencies. I have tried to fix some.
Under Intro to R section when defining character vectors it would be helpful to specify why we use quotes "" for elements in the character vector. If we dont use...
Rather than having both 'scatterplots' and 'scatter plots', consider using consistent verbiage (scatter plot)
Hello! Please consider recommending [Zenodo](https://zenodo.org/) as well. Cheers :-)
Same as https://github.com/datacarpentry/R-ecology-lesson/pull/377 ;-)
Fixed a couple of small typos that reduced readbility and corrected the solution to the last challenge.
In the[ 5th chapter](http://www.datacarpentry.org/R-genomics/05-data-visualization.html), i see that even though the section starts with Histogram, the plot type was consistently called as `geom_bar`. I know that there is not much difference...
Having a richer dataset to analyze might allow us to better showcase the abilities of dplyr and ggplot. One to consider might be a csv version of the results of...