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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# dilp
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[![R-CMD-check](https://github.com/mjbutrim/dilp/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/mjbutrim/dilp/actions/workflows/R-CMD-check.yaml)
<!-- badges: end -->
The goal of dilp is to help with analysis of quantitative fossil leaf traits. Key functions included are:
- Digital Leaf Physiognomy - `dilp()`
- Estimate mean annual temperature and mean annual precipitation using multiple linear regressions.
- Fossil Leaf Mass per Area - `lma()`
- Reconstruct leaf mass per area using leaf area and petiole width
- Leaf Margin Analysis - `temp_slr()`
- Estimate mean annual temperature using leaf margin analysis
- Leaf Area Analysis - `precip_slr()`
- Estimate mean annual precipitation using leaf area analysis
## Installation
You can install the stable version of dilp from your R session with:
``` r
install.packages("dilp")
```
You can install the development version of dilp from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("mjbutrim/dilp")
```
## Example
Find a basic example of running a DiLP and LMA analysis [in this vignette](https://mjbutrim.github.io/dilp/articles/dilp.html)
For ease of use, a template spreadsheet for data collection can be found here: [DiLP Data Collection Template](https://drive.google.com/file/d/1AOAftWBAE0RhrUewBZDSL81BIUq0Gmhw/view?usp=sharing)
If you encounter any problems, or would like to request a feature, please create an issue [here](https://github.com/mjbutrim/dilp/issues)