Package: pRecipe 3.0.2
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:
pRecipe_3.0.2.tar.gz
pRecipe_3.0.2.zip(r-4.5)pRecipe_3.0.2.zip(r-4.4)pRecipe_3.0.2.zip(r-4.3)
pRecipe_3.0.2.tgz(r-4.4-any)pRecipe_3.0.2.tgz(r-4.3-any)
pRecipe_3.0.2.tar.gz(r-4.5-noble)pRecipe_3.0.2.tar.gz(r-4.4-noble)
pRecipe_3.0.2.tgz(r-4.4-emscripten)pRecipe_3.0.2.tgz(r-4.3-emscripten)
pRecipe.pdf |pRecipe.html✨
pRecipe/json (API)
NEWS
# 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
Last updated 4 months agofrom:8ac2710ae0. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | NOTE | Nov 22 2024 |
R-4.5-linux | NOTE | Nov 22 2024 |
R-4.4-win | NOTE | Nov 22 2024 |
R-4.4-mac | NOTE | Nov 22 2024 |
R-4.3-win | NOTE | Nov 22 2024 |
R-4.3-mac | NOTE | Nov 22 2024 |
Exports:%>%crop_datacsidownload_datadownload_e_obsfarfldmeaninfoNClabelmuldpmnseplot_boxplot_densityplot_heatmapplot_lineplot_mapplot_summaryplot_taylorpodpRecipe_masksremapsaveNCsubset_datatabulartrendyearstat
Dependencies:abindbackportsbitbit64bootbroomcarcarDataclassclassIntclicliprclustercodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDBIdeldirDerivdoBydoParalleldplyre1071fansifarverforeachFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehexbinhmsinterpisobanditeratorsjpegKernSmoothlabelinglatticelatticeExtralifecyclelme4lubridatemagrittrmapprojmapsMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellncdf4nlmenloptrnnetnumDerivopenairpbkrtestpillarpkgconfigpngpolynomprettyunitsprogressproxypurrrquantregR6rasterRColorBrewerRcppRcppEigenreadrrlangrstatixs2scalessfspSparseMstringistringrsurvivalterratibbletidyrtidyselecttimechangetzdbunitsutf8vctrsviridisLitevroomwithrwk
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Crop precipitation data sets | crop_data crop_data,character-method crop_data,data.table-method crop_data,Raster-method |
Probability of Detection | csi |
Download various precipitation data products | download_data |
E-OBS data downloader | download_e_obs |
False Alarm Rate | far |
Field mean | fldmean fldmean,character-method fldmean,data.table-method fldmean,Raster-method |
Show data content | infoNC infoNC,character-method infoNC,Raster-method |
Labeling | label |
Multiply by days per month | muldpm muldpm,character-method muldpm,data.table-method muldpm,Raster-method |
Nash–Sutcliffe Efficiency | nse |
Boxplot ggplot | plot_box plot_box,character-method plot_box,data.table-method plot_box,Raster-method |
Histogram ggplot | plot_density plot_density,character-method plot_density,data.table-method plot_density,Raster-method |
Heatmap ggplot | plot_heatmap plot_heatmap,character-method plot_heatmap,data.table-method plot_heatmap,Raster-method |
Line ggplot | plot_line plot_line,character-method plot_line,data.table-method plot_line,Raster-method |
Map ggplot | plot_map plot_map,character-method plot_map,data.table-method plot_map,Raster-method |
Summary ggplot | plot_summary plot_summary,character-method plot_summary,data.table-method plot_summary,Raster-method |
Taylor diagram | plot_taylor |
Probability Of Detection | pod |
Masks data | pRecipe_masks |
Spatial aggregation | remap remap,character-method remap,data.table-method remap,Raster-method |
Save .nc file | saveNC |
Subset data in space and time | subset_data subset_data,character-method subset_data,data.table-method subset_data,Raster-method |
Transform raster into data.table | tabular tabular,character-method tabular,Raster-method |
Trends | trend trend,character-method trend,data.table-method trend,Raster-method |
Yearly <stat> | yearstat yearstat,character-method yearstat,data.table-method yearstat,Raster-method |