tidyfinance

R package with helper functions for developers and researchers familiar with Tidy Finance

https://github.com/tidy-finance/r-tidyfinance

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R package with helper functions for developers and researchers familiar with Tidy Finance

README.Rmd

---
output: github_document
---



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

# tidyfinance


`r badger::badge_cran_release()`
`r badger::badge_cran_download(type = "grand-total")`
`r badger::badge_repostatus("Active")`
`r badger::badge_github_version(color = "blue")`
[![R-CMD-check](https://github.com/tidy-finance/r-tidyfinance/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidy-finance/r-tidyfinance/actions/workflows/R-CMD-check.yaml)


This repository contains an R package that collects helper functions for developers and researchers familiar with [Tidy Finance with R](https://www.tidy-finance.org/r/index.html). The functions provide shortcuts to selected issues that the book discusses in detail.

## Installation

You can install the released version of `tidyfinance` [from CRAN](https://cran.r-project.org/package=tidyfinance) via:

```r
install.packages("tidyfinance")
```

You can install the development version of `tidyfinance` from [GitHub](https://github.com/tidy-finance/r-tidyfinance) via:

```r
# install.packages("pak")
pak::pak("tidy-finance/r-tidyfinance")
```

## Usage

Load the package:

```r
library(tidyfinance)
```

### Download Data

The main functionality of the `tidyfinance` package centers around data download. You can download most of the data that we used in [Tidy Finance with R](https://www.tidy-finance.org/r/index.html) using the `download_data()` function or its children. For instance, both functions give the same result:

```r
download_data(
  type = "factors_ff_3_monthly", 
  start_date = "2000-01-01", 
  end_date = "2020-12-31"
)

download_data_factors_ff(
  type = "factors_ff_3_monthly", 
  start_date = "2000-01-01", 
  end_date = "2020-12-31"
)
```

You can also download data directly from [WRDS](https://www.tidy-finance.org/r/wrds-crsp-and-compustat.html) (if you have set your credentials via `Sys.setenv(WRDS_USER = "your_username", WRDS_PASSWORD = "your_password")`), e.g.,

```r
download_data(
  type = "wrds_compustat_annual", 
  start_date = "2000-01-01", 
  end_date = "2020-12-31"
)
```

If you want to fetch additional columns that are not included in our default selection, then pass them as additional arguments in the corresponding child function:

```r
download_data_wrds_compustat(
  type = "wrds_compustat_annual",  
  start_date = "2000-01-01", 
  end_date = "2020-12-31",
  additional_columns = c("acoxar", "amc", "aldo")
)
```

You can get a list of all currently supported types via `list_supported_types()`. Please open an [issue on GitHub](https://github.com/tidy-finance/r-tidyfinance/issues) to request additional supported types.

### Other Helpers

We include functions to check out content from [tidy-finance.org](https://www.tidy-finance.org/r/index.html):

```r
list_tidy_finance_chapters()
open_tidy_finance_website()
```

There are also some simple helpers for regression analyses:

```r
winsorize()
trim()
create_summary_statistics()
```

We also include (experimental) functions that can be used for different applications, but note that they might heavily change in future package versions as we try to make them more general:

```r
# For portfolio sorts
?assign_portfolio()

# For model estimation
?estimate_model()

# For beta estimation
?estimate_betas()

# For beta estimation
?estimate_fama_macbeth()
```

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