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https://github.com/ajpelu/droughtevents

Identify and Characterize Drought Events from Drought Index Time Series

https://github.com/ajpelu/droughtevents

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Identify and Characterize Drought Events from Drought Index Time Series

Basic Info
  • Host: GitHub
  • Owner: ajpelu
  • License: other
  • Language: R
  • Default Branch: master
  • Size: 27.3 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 11 months ago · Last pushed 11 months ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# droughtevents




The goal of droughtevents is to ...

## Installation

You can install the development version of droughtevents like so:

``` r
# FILL THIS IN! HOW CAN PEOPLE INSTALL YOUR DEV PACKAGE?
```

## Example

This is a basic example which shows you how to solve a common problem:

```{r example}
library(droughtevents)
## basic example code
```

What is special about using `README.Rmd` instead of just `README.md`? You can include R chunks like so:

```{r cars}
summary(cars)
```

You'll still need to render `README.Rmd` regularly, to keep `README.md` up-to-date. `devtools::build_readme()` is handy for this.

You can also embed plots, for example:

```{r pressure, echo = FALSE}
plot(pressure)
```

In that case, don't forget to commit and push the resulting figure files, so they display on GitHub and CRAN.

Owner

  • Name: Antonio J Perez-Luque
  • Login: ajpelu
  • Kind: user
  • Location: Granada (Spain)

Ecologist. Applied Statistics. Ecoinformatics. @ecoinf_AEET

GitHub Events

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  • Issues event: 1
  • Push event: 2
  • Create event: 2
Last Year
  • Issues event: 1
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  • Create event: 2

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Last synced: 10 months ago

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  • Total pull request authors: 0
  • Average comments per issue: 0.0
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Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
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Top Authors
Issue Authors
  • ajpelu (1)
Pull Request Authors
Top Labels
Issue Labels
enhancement (1)
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Dependencies

DESCRIPTION cran
  • R >= 3.5 depends
  • data.table * imports
  • dplyr * imports
  • glue * imports
  • lubridate * imports
  • testthat >= 3.0.0 suggests