R: Quality Scores for the Russell 3000

# Quality Scores for the Russell 3000

## Documentation for package ‘qmj’ version 0.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

qmj-package | Exploring a quality minus junk approach to evaluating stocks
clean_downloads | Removes downloaded temporary files.
companies_r3k16 | A list of all companies in the Russell 3000 Index
financials_r3k16 | Financial statements of all companies in the Russell 3000 index for the past four years
get_companies | Builds a companies data frame from a text file.
get_info | Gets raw financial statements from Google Finance.
get_prices | Grab daily prices and price returns for the previous two years.
install_yfinance | Install yfinance and dependencies
market_data | Produces component and quality scores.
market_growth | Collects growth z-scores for companies
market_payouts | Collects payout z-scores for companies
market_profitability | Collects profitability z-scores for companies
market_safety | Collects safety z-scores for companies
prices_r3k16 | A dataframe of price returns and closing prices for companies in the Russell 3000 Index
qmj | Exploring a quality minus junk approach to evaluating stocks
quality_r3k16 | A dataframe of quality scores for companies listed in the Russell 3000
tidyinfo | Formats raw financial data.
tidy_balancesheets | Makes raw balancesheet data usable and readable.
tidy_cashflows | Makes raw cash flow data usable and readable.
tidy_helper | Main helper function for all tidy functions.
tidy_incomestatements | Makes raw incomestatement data usable and readable.
tidy_prices | Formats raw price data.