README.md
In ying14/yingtools2: Ying's R Tools
yingtools2 package
Ying Taur's tools for analysis, with particular focus on microbiome data
yingtools2 is an R package containing many tools and functions for working with clinical and microbiome data.
Installation
Install this package from Github:
remotes::install_github("ying14/yingtools2")
Sample Microbiome Dataset
Included is a de-identified microbiome dataset of stool samples collected from a cohort of bone marrow transplant recipients at Memorial Sloan Kettering Cancer Center. This was previously published in Clinical Infectious Diseases (2012). The dataset includes sequence data for 439 samples (from 94 patients), as well as a variety of accompanying clinical metadata.
cid.phy: 16S sequence data (phyloseq object, 1,838,204 seqs, 439 samples, 5,327 OTUs)cid.patients: Patients (94 rows)cid.hosp: Hospitalizations (314 rows)cid.meds: Medications (6,473 rows)cid.bsi: Bloodstream Infections (138 rows)cid.cdiff: C. diff results (37 rows)
Self Help and Code Examples
Below are various use coding examples using yingtools2.
Core Basics
For those starting to learn R for data science
- Coding Curriculum. A run-through of the most important R coding skills to learn.
- Regular Expressions. Lists basic regular expression patterns.
- Exercises. These questions test your R skills and range from beginner to advanced.
Microbiome data
- Hierarchical clustering (Fig 3A of CID paper)
- PCOA and other ordination methods
- Phylogenetic Trees from Phyloseq
- Testing taxonomic features (LDA effect size)
- Single sample barplot
ying14/yingtools2 documentation built on May 6, 2024, 10:31 p.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
yingtools2 package
Ying Taur's tools for analysis, with particular focus on microbiome data
yingtools2 is an R package containing many tools and functions for working with clinical and microbiome data.
Installation
Install this package from Github:
remotes::install_github("ying14/yingtools2")
Sample Microbiome Dataset
Included is a de-identified microbiome dataset of stool samples collected from a cohort of bone marrow transplant recipients at Memorial Sloan Kettering Cancer Center. This was previously published in Clinical Infectious Diseases (2012). The dataset includes sequence data for 439 samples (from 94 patients), as well as a variety of accompanying clinical metadata.
cid.phy: 16S sequence data (phyloseq object, 1,838,204 seqs, 439 samples, 5,327 OTUs)cid.patients: Patients (94 rows)cid.hosp: Hospitalizations (314 rows)cid.meds: Medications (6,473 rows)cid.bsi: Bloodstream Infections (138 rows)cid.cdiff: C. diff results (37 rows)
Self Help and Code Examples
Below are various use coding examples using yingtools2.
Core Basics
For those starting to learn R for data science
- Coding Curriculum. A run-through of the most important R coding skills to learn.
- Regular Expressions. Lists basic regular expression patterns.
- Exercises. These questions test your R skills and range from beginner to advanced.
Microbiome data
- Hierarchical clustering (Fig 3A of CID paper)
- PCOA and other ordination methods
- Phylogenetic Trees from Phyloseq
- Testing taxonomic features (LDA effect size)
- Single sample barplot
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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