Package: pRecipe 3.0.3

pRecipe: Precipitation R Recipes

An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data. More information and an example of implementation can be found in Vargas Godoy and Markonis (2023, <doi:10.1016/j.envsoft.2023.105711>).

Authors:Mijael Rodrigo Vargas Godoy [aut, cre], Yannis Markonis [aut, ths]

pRecipe_3.0.3.tar.gz
pRecipe_3.0.3.zip(r-4.7-any)pRecipe_3.0.3.zip(r-4.6-any)pRecipe_3.0.3.zip(r-4.5-any)
pRecipe_3.0.3.tgz(r-4.6-any)pRecipe_3.0.3.tgz(r-4.5-any)
pRecipe_3.0.3.tar.gz(r-4.7-any)pRecipe_3.0.3.tar.gz(r-4.6-any)
pRecipe_3.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pRecipe/json (API)

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

Bug tracker:https://github.com/mirovago/precipe/issues

On CRAN:

Conda:

6.13 score 10 stars 136 scripts 361 downloads 24 exports 111 dependencies

Last updated from:c5c134ee70. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK257
source / vignettesOK238
linux-releaseOK285
macos-releaseOK259
macos-oldrelOK320
windows-develOK266
windows-releaseOK229
windows-oldrelOK222
wasm-releaseOK159

Exports:%>%crop_datacsidownload_datafarfldmeaninfoNCmuldpmnseplot_boxplot_densityplot_heatmapplot_lineplot_mapplot_summaryplot_taylorpodpRecipe_masksremapsaveNCsubset_datatabulartrendyearstat

Dependencies:abindbackportsbitbit64bootbroomcarcarDataclassclassIntclicliprclustercodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDBIDerivdoBydoParalleldplyre1071farverforeachforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehmsisobanditeratorsKernSmoothlabelinglatticelifecyclelme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmgcvminqamodelrncdf4nlmenloptrnnetnumDerivopenairpatchworkpbkrtestpillarpkgconfigpolynomprettyunitsprogressproxypurrrquantregR6rasterrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangrstatixs2S7scalessfspSparseMstringistringrsurvivalterratibbletidyrtidyselecttimechangetimeDatetwctzdbunitsurcautf8vctrsviridisLitevroomwithrwkzoo

Introduction to pRecipe
Before We Start | Data | Gauge-Based Products | Satellite-Based Products | Reanalysis Products | Hydrological Model Forcing | Installation | Data Download | Processing | Subset | Crop | Generate Time series | Visualize | Maps | Time Series Visuals | Line | Heatmap | Boxplot | Density | Summary | Coming Soon | Citation | References
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2024-12-07
Started: 2023-07-06

Assesing multiple datasets
Load required libraries | Data download | Subset to spatiotemporal domain of interest | Generate time series | Compute annual statistics | Line plots | Evaluating versus local reference | At the seasonal scale | Assessing change between two periods | Assessing spatial patterns of change between two periods
Rendered fromcase_study.Rmdusingknitr::rmarkdown

Last update: 2024-12-07
Started: 2024-12-07

Readme and manuals

Help Manual

Help pageTopics
Probability of Detectioncsi
Download various precipitation data productsdownload_data
False Alarm Ratefar
Nash–Sutcliffe Efficiencynse
Boxplot ggplotplot_box plot_box,character-method plot_box,data.table-method plot_box,Raster-method
Histogram ggplotplot_density plot_density,character-method plot_density,data.table-method plot_density,Raster-method
Heatmap ggplotplot_heatmap plot_heatmap,character-method plot_heatmap,data.table-method plot_heatmap,Raster-method
Line ggplotplot_line plot_line,character-method plot_line,data.table-method plot_line,Raster-method
Map ggplotplot_map plot_map,character-method plot_map,data.table-method plot_map,Raster-method
Summary ggplotplot_summary plot_summary,character-method plot_summary,data.table-method plot_summary,Raster-method
Taylor diagramplot_taylor
Probability Of Detectionpod