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Consistent description backups
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lindsayrutter committed Nov 9, 2023
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9 changes: 1 addition & 8 deletions DESCRIPTION_BACKUP_1444
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Package: bigPint
<<<<<<< HEAD
Version: 1.5.1
Version: 1.5.2
Title: BIG multivariate data Plotted INTeractively
Description: Make big data pint-sized. Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.
Authors@R: c(person("Lindsay", "Rutter", email = "bigpintpackage@gmail.com", role = c("aut","cre")),
=======
Version: 1.19.0
Title: Big multivariate data plotted interactively
Description: Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.
Authors@R: c(person("Lindsay", "Rutter", email = "lindsayannerutter@gmail.com", role = c("aut","cre")),
>>>>>>> upstream/devel
person("Dianne", "Cook", email = "dicook@monash.edu", role = c("aut")))
License: GPL-3
Depends: R (>= 3.6.0)
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66 changes: 45 additions & 21 deletions DESCRIPTION_BASE_1444
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Package: bigPint
Version: 1.5.1
Title: Big multivariate data plotted interactively
Description: Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.
Authors@R: c(person("Lindsay", "Rutter", email = "lindsayannerutter@gmail.com", role = c("aut","cre")),
Version: 1.5.2
Title: BIG multivariate data Plotted INTeractively
Description: Make big data pint-sized. Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.
Authors@R: c(person("Lindsay", "Rutter", email = "bigpintpackage@gmail.com", role = c("aut","cre")),
person("Dianne", "Cook", email = "dicook@monash.edu", role = c("aut")))
License: GPL-3
Depends: R (>= 3.6.0)
Imports: DelayedArray (>= 0.12.2), dplyr (>= 0.7.2), GGally (>= 1.3.2),
ggplot2 (>= 2.2.1), graphics (>= 3.5.0), grDevices (>= 3.5.0),
grid (>= 3.5.0), gridExtra (>= 2.3), hexbin (>= 1.27.1),
Hmisc (>= 4.0.3), htmlwidgets (>= 0.9), methods (>= 3.5.2),
plotly (>= 4.7.1), plyr (>= 1.8.4), RColorBrewer (>= 1.1.2),
reshape (>= 0.8.7), shiny (>= 1.0.5), shinycssloaders (>= 0.2.0),
shinydashboard (>= 0.6.1), stats (>= 3.5.0), stringr (>= 1.3.1),
SummarizedExperiment (>= 1.16.1), tidyr (>= 0.7.0), utils (>= 3.5.0)
biocViews:
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dplyr (>= 0.7.2),
GGally (>= 1.3.2),
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grid (>= 3.5.0),
gridExtra (>= 2.3),
hexbin (>= 1.27.1),
Hmisc (>= 4.0.3),
htmlwidgets (>= 0.9),
methods (>= 3.5.2),
plotly (>= 4.7.1),
plyr (>= 1.8.4),
RColorBrewer (>= 1.1.2),
reshape (>= 0.8.7),
shiny (>= 1.0.5),
shinycssloaders (>= 0.2.0),
shinydashboard (>= 0.6.1),
stats (>= 3.5.0),
stringr (>= 1.3.1),
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VignetteBuilder: knitr
Suggests: BiocGenerics (>= 0.29.1), data.table (>= 1.11.8), EDASeq (>=
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GeneExpression, MultipleComparison, Normalization,
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BugReports: https://github.com/lindsayrutter/bigPint/issues
URL: https://github.com/lindsayrutter/bigPint
NeedsCompilation: no
Packaged: 2018-11-30 04:06:13 UTC; suzu
LazyData: true
Encoding: UTF-8
PackageStatus: Deprecated
3 changes: 2 additions & 1 deletion DESCRIPTION_LOCAL_1444
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@@ -1,5 +1,5 @@
Package: bigPint
Version: 1.5.1
Version: 1.5.2
Title: BIG multivariate data Plotted INTeractively
Description: Make big data pint-sized. Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.
Authors@R: c(person("Lindsay", "Rutter", email = "bigpintpackage@gmail.com", role = c("aut","cre")),
Expand Down Expand Up @@ -53,3 +53,4 @@ NeedsCompilation: no
Packaged: 2018-11-30 04:06:13 UTC; suzu
LazyData: true
Encoding: UTF-8
PackageStatus: Deprecated
65 changes: 44 additions & 21 deletions DESCRIPTION_REMOTE_1444
Original file line number Diff line number Diff line change
@@ -1,29 +1,52 @@
Package: bigPint
Version: 1.19.0
Title: Big multivariate data plotted interactively
Description: Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.
Authors@R: c(person("Lindsay", "Rutter", email = "lindsayannerutter@gmail.com", role = c("aut","cre")),
Version: 1.5.2
Title: BIG multivariate data Plotted INTeractively
Description: Make big data pint-sized. Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.
Authors@R: c(person("Lindsay", "Rutter", email = "bigpintpackage@gmail.com", role = c("aut","cre")),
person("Dianne", "Cook", email = "dicook@monash.edu", role = c("aut")))
License: GPL-3
Depends: R (>= 3.6.0)
Imports: DelayedArray (>= 0.12.2), dplyr (>= 0.7.2), GGally (>= 1.3.2),
ggplot2 (>= 2.2.1), graphics (>= 3.5.0), grDevices (>= 3.5.0),
grid (>= 3.5.0), gridExtra (>= 2.3), hexbin (>= 1.27.1),
Hmisc (>= 4.0.3), htmlwidgets (>= 0.9), methods (>= 3.5.2),
plotly (>= 4.7.1), plyr (>= 1.8.4), RColorBrewer (>= 1.1.2),
reshape (>= 0.8.7), shiny (>= 1.0.5), shinycssloaders (>= 0.2.0),
shinydashboard (>= 0.6.1), stats (>= 3.5.0), stringr (>= 1.3.1),
SummarizedExperiment (>= 1.16.1), tidyr (>= 0.7.0), utils (>= 3.5.0)
biocViews:
Imports:
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dplyr (>= 0.7.2),
GGally (>= 1.3.2),
ggplot2 (>= 2.2.1),
graphics (>= 3.5.0),
grDevices (>= 3.5.0),
grid (>= 3.5.0),
gridExtra (>= 2.3),
hexbin (>= 1.27.1),
Hmisc (>= 4.0.3),
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methods (>= 3.5.2),
plotly (>= 4.7.1),
plyr (>= 1.8.4),
RColorBrewer (>= 1.1.2),
reshape (>= 0.8.7),
shiny (>= 1.0.5),
shinycssloaders (>= 0.2.0),
shinydashboard (>= 0.6.1),
stats (>= 3.5.0),
stringr (>= 1.3.1),
SummarizedExperiment (>= 1.16.1),
tidyr (>= 0.7.0),
utils (>= 3.5.0)
VignetteBuilder: knitr
Suggests: BiocGenerics (>= 0.29.1), data.table (>= 1.11.8), EDASeq (>=
2.14.0), edgeR (>= 3.22.2), gtools (>= 3.5.0), knitr (>= 1.13),
matrixStats (>= 0.53.1), rmarkdown (>= 1.10), roxygen2 (>=
3.0.0), RUnit (>= 0.4.32), tibble (>= 1.4.2),
biocViews: Clustering, DataImport, DifferentialExpression,
GeneExpression, MultipleComparison, Normalization,
Preprocessing, QualityControl, RNASeq, Sequencing, Software,
Transcription, Visualization
RoxygenNote: 7.1.0
Suggests:
BiocStyle (>= 3.18),
BiocGenerics (>= 0.29.1),
data.table (>= 1.11.8),
EDASeq (>= 2.14.0),
edgeR (>= 3.22.2),
gtools (>= 3.5.0),
knitr (>= 1.13),
matrixStats (>= 0.53.1),
rmarkdown (>= 1.10),
roxygen2 (>= 3.0.0),
RUnit (>= 0.4.32),
tibble (>= 1.4.2)
RoxygenNote: 7.2.3
BugReports: https://github.com/lindsayrutter/bigPint/issues
URL: https://github.com/lindsayrutter/bigPint
NeedsCompilation: no
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