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R-processx-3.5.2-3.fc36~bootstrap.x86_64
Tools to run system processes in the background. It can check if a
background process is running; wait on a background process to finish; get
the exit status of finished processes; kill background processes. It can
read the standard output and error of the processes, using non-blocking
connections. 'processx' can poll a process for standard output or error,
with a timeout. It can also poll several processes at once.
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R-promises-1.2.0.1-3.fc36~bootstrap.x86_64
Provides fundamental abstractions for doing asynchronous programming in R using
promises. Asynchronous programming is useful for allowing a single R process to
orchestrate multiple tasks in the background while also attending to something
else. Semantics are similar to 'JavaScript' promises, but with a syntax that is
idiomatic R.
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R-qcc-2.7-7.fc36.noarch
An R package for quality control charting and statistical process control.
The qcc package for the R statistical environment provides:
- Plot Shewhart quality control charts
- Plot Cusum and EMWA charts for continuous data
- Draw operating characteristic curves
- Perform process capability analysis
- Draw Pareto charts and cause-and-effect diagrams
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R-qtl-1.52-1.fc36.x86_64
R-qtl is an extensible, interactive environment for mapping
quantitative trait loci (QTLs) in experimental crosses. Our goal is to
make complex QTL mapping methods widely accessible and allow users to
focus on modeling rather than computing.
A key component of computational methods for QTL mapping is the hidden
Markov model (HMM) technology for dealing with missing genotype
data. We have implemented the main HMM algorithms, with allowance for
the presence of genotyping errors, for backcrosses, intercrosses, and
phase-known four-way crosses.
The current version of R-qtl includes facilities for estimating
genetic maps, identifying genotyping errors, and performing single-QTL
genome scans and two-QTL, two-dimensional genome scans, by interval
mapping (with the EM algorithm), Haley-Knott regression, and multiple
imputation. All of this may be done in the presence of covariates
(such as sex, age or treatment). One may also fit higher-order QTL
models by multiple imputation and Haley-Knott regression.
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R-qvalue-2.24.0-3.fc36.noarch
It takes a list of p-values resulting from the simultaneous
testing of many hypotheses and estimates their q-values.
The q-value of a test measures the proportion of false positives
incurred (called the false discovery rate) when that particular
test is called significant. Various plots are automatically
generated, allowing one to make sensible significance cut-offs.
Several mathematical results have recently been shown on the
conservative accuracy of the estimated q-values from this software.
The software can be applied to problems in genomics, brain imaging,
astrophysics, and data mining.
This package is a part of the Bioconductor (bioconductor.org) project.
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R-rematch-1.0.1-12.fc36.noarch
A small wrapper on 'regexpr' to extract the matches and captured groups
from the match of a regular expression to a character vector.
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R-repr-1.1.3-4.fc36.noarch
String and binary representations of objects for several formats / mime
types.
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R-reprex-2.0.1-2.fc36.noarch
Convenience wrapper that uses the 'rmarkdown' package to render small snippets
of code to target formats that include both code and output. The goal is to
encourage the sharing of small, reproducible, and runnable examples on
code-oriented websites, such as <https://stackoverflow.com> and
<https://github.com>, or in email. The user's clipboard is the default source
of input code and the default target for rendered output. 'reprex' also
extracts clean, runnable R code from various common formats, such as copy/paste
from an R session.
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R-reshape-0.8.8-10.fc36.noarch
Flexibly restructure and aggregate data using just two functions: melt and
cast.
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R-reshape2-1.4.4-8.fc36.x86_64
Flexibly restructure and aggregate data using just two functions: melt and
'dcast' (or 'acast').
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