NBIS workshop on data visualization in R
Welcome to the Workshop on Data Visualization organised by National Bioinformatics Infrastructure, Sweden.
This document is a life record of what we are doing and learning during the workshop. As either a student or a teacher, you are encouraged to write your comments, questions and feedback.
https://nbisweden.github.io/workshop-data-visualization-r/2304/data/data.zip
Here, we write a few words about ourselves to get to know each other a bit better.
Lokeshwaran Manoharan - I am the course leader for this workshop. I work as a Bioinformatics expert at NBIS in the medical faculty node of Lund University. My research interest lies very much in the genomics of non-model organisms and microbes in particular.
Markus Ringnér - I am a teacher for this workshop. I am based in Lund under the Department of Biology. I work as a bioinformatician in the NBIS long term support.
Yuan Li - I am a TA for this workshop. I am based in Lund under the Department of Immunotechnology. I work as a bioinformatician in the NBIS short term support. My field lies broadly in transcriptomics.
by = 0
mean in merged_data_wide <- merge(md, t(gc), by = 0)
?Answer: Here, the
merge
function will combine two data frames by their rownames, i.e., by invoking the parameterby = 0
. Note that in the exercise, we have explicitly assigned the rownames of the dataframe by executing commandrownames(md) <- md$Sample_ID
.
or
or
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