Difference between revisions of "Workshops/Saskatoon 2015-Introduction to R"
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*[[Media:Weissgerber_(2015)_BeyondBarcharts.pdf|Weissgerber_(2015)_BeyondBarcharts.pdf]] | *[[Media:Weissgerber_(2015)_BeyondBarcharts.pdf|Weissgerber_(2015)_BeyondBarcharts.pdf]] | ||
*[[Media:R_refcard.pdf|A concise reference card of '''R''' functions (pdf)]] | *[[Media:R_refcard.pdf|A concise reference card of '''R''' functions (pdf)]] | ||
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+ | *[https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects '''Using Projects with R Studio'''] | ||
+ | *[http://software-carpentry.org/ '''Software Carpentry'''] | ||
+ | **[http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745 Best Practices for Scientific Computing, Wilson ''et al.'', PLoS Biology, Jan. 2014] | ||
+ | *[https://support.rstudio.com/hc/en-us/articles/200532077-Version-Control-with-Git-and-SVN '''Version control in R Studio'''] | ||
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Revision as of 04:15, 19 August 2015
Introduction to R
Contents
Schedule
Please note: this schedule is a rough guideline only, we will be very flexible to adapt to class needs as we proceed.
Time | Wednesday's Activities |
09:00 – 10:30 | Welcome, Introduction Lecture and practicals: setup and environment |
10:30 – 11:00 | Coffee break |
11:00 – 12:30 | Lecture and practicals: R commands |
12:30 – 13:30 | Lunch break |
13:30 – 15:00 | Lecture and practicals: programming |
15:00 – 15:30 | Coffee break |
13:30 – 15:00 | Lecture and practicals: data |
Setup
There may be a difference between R and R Studio regarding the location of installed packages.
We have noticed at previous workshops that RStudio couldn't find libraries that were not installed through the RStudio package manager. This appeared to have been version dependent, and may not affect current releases. You can check for this (in case you have problems running the library()
command) by issuing the command ...
.libPaths()
...in R as well as in R Studio. The path should be the same in both.
In case you need to "tell" RStudio the location, you can define the path in a startup file. Create or edit a file called .Renviron
in your home directory. Inside there define:
R_LIBS=<Library Path of R installed packages>
Alternatively, you could use the R Studio package manger to install libraries.
Task:
- Download the file Intro_to_R.R to your working directory;
- Load the file in R Studio;
- Proceed to the first
CHECKPOINT
in the script.
Resources
- Script files for this section
- Jaitin et al. (2014) Resources
Jaitin et al. (2014) Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types. Science 343:776-9. (pmid: 24531970) |
[ PubMed ] [ DOI ] In multicellular organisms, biological function emerges when heterogeneous cell types form complex organs. Nevertheless, dissection of tissues into mixtures of cellular subpopulations is currently challenging. We introduce an automated massively parallel single-cell RNA sequencing (RNA-seq) approach for analyzing in vivo transcriptional states in thousands of single cells. Combined with unsupervised classification algorithms, this facilitates ab initio cell-type characterization of splenic tissues. Modeling single-cell transcriptional states in dendritic cells and additional hematopoietic cell types uncovers rich cell-type heterogeneity and gene-modules activity in steady state and after pathogen activation. Cellular diversity is thereby approached through inference of variable and dynamic pathway activity rather than a fixed preprogrammed cell-type hierarchy. These data demonstrate single-cell RNA-seq as an effective tool for comprehensive cellular decomposition of complex tissues. |
- Jaitin_2014-SingleCellRNAseq.pdf
- Jaitin-SupplementaryMaterial.pdf
- Fig_3-CharacteristicGenes.txt
- Table_S3.xls
- As backup, in case you don't have Excel: Table_S3.csv
- Other resources
Useful links
- The R help mailing list: https://stat.ethz.ch/mailman/listinfo/r-help
- Rseek: the specialized search engine for R topics: http://rseek.org/
- R questions on stackoverflow: http://stackoverflow.com/questions/tagged/r
- The Comprehensive R Archive Network CRAN: http://cran.r-project.org/
- The CRAN task-view collection: http://cran.r-project.org/web/views/
- Bioconductor task views: http://www.bioconductor.org/packages/release/BiocViews.html
Notes