quality_r3k16: A dataframe of quality scores for companies listed in the...
In anttsou/qmj: Quality Scores for the Russell 3000
quality_r3k16 R Documentation
A dataframe of quality scores for companies listed in the Russell 3000
Description
Displays overall quality scores as well as the scores for profitability,
growth, safety, and payouts. Companies are sorted in order of quality
score, with NAs stored at the end of the data set. For a description of
the Russell 3000 index, as well as why it was used for this package,
see companies_r3k16. Last updated 2016/01/06.
Format
A data frame with approximately 3000 rows and 7 variables
quality = class "numeric".
profitability = class "numeric".
growth = class "numeric".
safety = class "numeric".
payouts = class "numeric".
Details
The quality data set stores quality and component scores for the
various companies list in the companies_r3k16 data set. For
every ticker in companies, quality attempts to assign a profitability,
growth, safety, and payouts score to each company using data from
financials_r3k16 and prices_r3k16, and then attempts
to provide a quality score. It is possible that one or more companies
may not have sufficient information to provide one or more component
scores, in which case those companies can still be found at the end
of the data set, with NA's making up any data that cannot be found.
If partial information exists (i.e., a profitability score was able to
be calculated), then those scores are kept for that company, even if
insufficient information exists to produce a quality score. More
details may be found on the technical vignette.
anttsou/qmj documentation built on Feb. 19, 2025, 5:25 p.m.
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| quality_r3k16 | R Documentation |
A dataframe of quality scores for companies listed in the Russell 3000
Description
Displays overall quality scores as well as the scores for profitability,
growth, safety, and payouts. Companies are sorted in order of quality
score, with NAs stored at the end of the data set. For a description of
the Russell 3000 index, as well as why it was used for this package,
see companies_r3k16. Last updated 2016/01/06.
Format
A data frame with approximately 3000 rows and 7 variables
quality = class
"numeric".profitability = class
"numeric".growth = class
"numeric".safety = class
"numeric".payouts = class
"numeric".
Details
The quality data set stores quality and component scores for the
various companies list in the companies_r3k16 data set. For
every ticker in companies, quality attempts to assign a profitability,
growth, safety, and payouts score to each company using data from
financials_r3k16 and prices_r3k16, and then attempts
to provide a quality score. It is possible that one or more companies
may not have sufficient information to provide one or more component
scores, in which case those companies can still be found at the end
of the data set, with NA's making up any data that cannot be found.
If partial information exists (i.e., a profitability score was able to be calculated), then those scores are kept for that company, even if insufficient information exists to produce a quality score. More details may be found on the technical vignette.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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