Package: mip 0.152.0

David Klein

mip: Comparison of multi-model runs

Package contains generic functions to produce comparison plots of multi-model runs.

Authors:David Klein [aut, cre], Jan Philipp Dietrich [aut], Lavinia Baumstark [aut], Florian Humpenoeder [aut], Miodrag Stevanovic [aut], Stephen Wirth [aut], Pascal Führlich [aut], Oliver Richters [aut], Tonn Rüter [aut]

mip_0.152.0.tar.gz
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mip_0.152.0.tgz(r-4.4-any)mip_0.152.0.tgz(r-4.3-any)
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mip_0.151.1.tgz(r-4.4-emscripten)mip_0.152.0.tgz(r-4.3-emscripten)
mip.pdf |mip.html
mip/json (API)

# Install 'mip' in R:
install.packages('mip', repos = c('https://pik-piam.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pik-piam/mip/issues

Datasets:

On CRAN:

8.07 score 1 stars 20 packages 69 scripts 29 exports 106 dependencies

Last updated 3 days agofrom:52f65ab38b. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 06 2024
R-4.5-winWARNINGDec 06 2024
R-4.5-linuxWARNINGDec 06 2024
R-4.4-winWARNINGDec 06 2024
R-4.4-macWARNINGDec 06 2024
R-4.3-winWARNINGDec 06 2024
R-4.3-macWARNINGDec 06 2024

Exports:calculateRatiocheckGlobalOptionsProvidedextractVariableGroupsgetPlotDataharmonizeidentifierModelScenlongestCommonPrefixmipAreamipBarYearDatamipIterationsmipLineHistoricalplotPercentilesplotstyleplotstyle.addscenToolscenToolMAgPIEscratchBarshorten_legendshowAreaAndBarPlotsshowAreaAndBarPlotsPlusshowLinePlotsshowLinePlotsWithTargetshowMultiLinePlotsshowMultiLinePlotsByVariableshowRegiLinePlotssideBySidePlotstheme_mipvalidationpdfwarnMissingVars

Dependencies:abindaskpassbase64encbitbit64bslibcachemcellrangerclicliprcolorspacecommonmarkcountrycodecpp11crayoncrosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfilelockfontawesomeforcatsfsgenericsggplot2gluegmsgridExtragtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelubridatelusweavemagclassmagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlyplyrprettyunitsprogresspromisespurrrqualVquitteR6rappdirsRColorBrewerRcppreadrreadxlrematchreshape2rlangrmarkdownsassscalesshinysourcetoolsstringistringrsystibbletidyrtidyselecttimechangetinytextrafficlighttzdbutf8vctrsviridisLitevroomwithrwritexlxfunxtableyamlzoo

Model Intercomparison File Format (MIF)

Rendered frommif.Rmdusingknitr::rmarkdownon Dec 06 2024.

Last update: 2021-08-10
Started: 2020-04-16

Readme and manuals

Help Manual

Help pageTopics
The MIP R packagemip-package mip
Calculate Ratios for Quitte Objects.calculateRatio
Check Whether Global Options Are ProvidedcheckGlobalOptionsProvided
dataframeFromGdxdataframeFromGdx
extractVariableGroupsextractVariableGroups
Get Legend of a ggplot.getLegend
getPlotDatagetPlotData
Harmonization of model data to historical data, using harmonization methods of aneris, ported to R. See: https://github.com/iiasa/aneris/blob/ad6301eb42155c968f20b2c7e071cbec039acc03/aneris/methods.pyharmonize
add identifier based on model and scenario namesidentifierModelScen
Longest Common PrefixlongestCommonPrefix
mip_example_datamip_example_data
Generic area plot function. Automatically creates facet grid from data. Optionally adds total line.mipArea
mipBarYearDatamipBarYearData
plotIterationsmipIterations
Compares data by producing line plotmipLineHistorical
Comparison line plots with percentilesplotPercentiles
Returns plot styles for given entitiesplotstyle
Adds plot styles locally to plotstyle.csvplotstyle.add
scenToolscenTool
scenToolMAgPIEscenToolMAgPIE
scratchBarscratchBar
Shorten legend names to a given lengthshorten_legend
Show Area and Bar PlotsshowAreaAndBarPlots
Show Area and Bar Plots Utilizing '+'-NotationshowAreaAndBarPlotsPlus
Show Line PlotsshowLinePlots
Show Line Plots With TargetshowLinePlotsWithTarget
Show Multi-Line PlotsshowMultiLinePlots
Show Multi-Line Plots by VariableshowMultiLinePlotsByVariable
Show Line Plots for Region ComparisonshowRegiLinePlots
sideBySidePlotssideBySidePlots
MIP theme settingstheme_mip
Create a validation PDF filevalidationpdf
Warn If Variables Are MissingwarnMissingVars