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Large initial commit for gateR package
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One main function
gating()

Five internal functions
rrs()
lotrrs()
pval_correct()
lrr_plot()
pval_plot()

Full README.md with example using data from {flowWorkspaceData}

Full vignette using toy data
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Ian Buller, PhD, MA committed Sep 12, 2020
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5 changes: 5 additions & 0 deletions .Rbuildignore
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^LICENSE\.md$
^.*\.Rproj$
^\.Rproj\.user$
^vignette\.Rmd$
^build$
^figures$
^gator\.png$
12 changes: 10 additions & 2 deletions .gitignore
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# RStudio files
.Rproj.user/
.Rproj

# produced vignettes
vignettes/*.html
#vignettes/*.html
vignettes/*.pdf

# OAuth2 token, see https://github.com/hadley/httr/releases/tag/v0.3
.httr-oauth

# knitr and R markdown default cache directories
/*_cache/
*_cache/
/cache/
*_files/

# Temporary files created by R markdown
*.utf8.md
*.knit.md

# Shiny token, see https://shiny.rstudio.com/articles/shinyapps.html
rsconnect/

# Mac OSX
.DS_Store

# R installed data
*.rds
71 changes: 63 additions & 8 deletions DESCRIPTION
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Package: gateRR
Package: gateR
Type: Package
Title: What the Package Does (Title Case)
Version: 0.1.0
Author: Who wrote it
Maintainer: The package maintainer <[email protected]>
Description: More about what it does (maybe more than one line)
Use four spaces when indenting paragraphs within the Description.
License: What license is it under?
Title: Gating strategy for mass cytometry using kernel density estimation
Version: 0.1.0.9000
Date: 2020-09-12
Authors@R:
c(person(given = "Ian D.",
family = "Buller",
role = c("aut", "cre", "cph"),
email = "[email protected]",
comment = c(ORCID = "0000-0001-9477-8582")),
person(given = "Elena",
family = "Hsieh",
role = "ctb",
email = "[email protected]"),
person(given = "Debashis",
family = "Ghosh",
role = "ctb",
email = "[email protected]"),
person(given = "Lance A.",
family = "Waller",
role = "ctb",
email = "[email protected]"),
person(given = "NCI",
role = c("cph"))
)
Maintainer: Ian D. Buller <[email protected]>
Description: Estimates statistically significant flourescent marker combination values within
which one immunologically distinctive group (i.e., disease case) is more associated than
another group (i.e., healthy control), successively, using various combinations (i.e.,
"gates") of flourescent markers to examine features of cells that may be different between
groups. For a two group comparison, the {gateR} package uses the spatial relative risk
function that is estimated using the {sparr} package. Details about the {sparr} package
methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details
about kernel density estimation can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>.
More information about relative risk functions using kernel density estimation can be
found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports:
fields,
graphics,
grDevices,
maptools,
raster,
sp,
sparr,
spatstat.core,
stats,
tibble,
utils
Suggests:
flowWorkspaceData,
knitr,
ncdfFlow,
spelling,
testthat
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/Waller-SUSAN/gateR
BugReports: https://github.com/Waller-SUSAN/gateR/issues
Author: Ian D. Buller [aut, cre, cph]
201 changes: 0 additions & 201 deletions LICENSE

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