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1 |
| -#' Prices of 50,000 round cut diamonds |
| 1 | +#' Prices of over 50,000 round cut diamonds |
2 | 2 | #'
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3 | 3 | #' A dataset containing the prices and other attributes of almost 54,000
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4 | 4 | #' diamonds. The variables are as follows:
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26 | 26 | #' \url{http://research.stlouisfed.org/fred2}. `economics` is in "wide"
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27 | 27 | #' format, `economics_long` is in "long" format.
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28 | 28 | #'
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29 |
| -#' @format A data frame with 478 rows and 6 variables |
| 29 | +#' @format A data frame with 574 rows and 6 variables: |
30 | 30 | #' \describe{
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31 | 31 | #' \item{date}{Month of data collection}
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32 |
| -#' \item{psavert}{personal savings rate, |
33 |
| -#' \url{http://research.stlouisfed.org/fred2/series/PSAVERT/}} |
34 | 32 | #' \item{pce}{personal consumption expenditures, in billions of dollars,
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35 | 33 | #' \url{http://research.stlouisfed.org/fred2/series/PCE}}
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36 |
| -#' \item{unemploy}{number of unemployed in thousands, |
37 |
| -#' \url{http://research.stlouisfed.org/fred2/series/UNEMPLOY}} |
38 |
| -#' \item{uempmed}{median duration of unemployment, in weeks, |
39 |
| -#' \url{http://research.stlouisfed.org/fred2/series/UEMPMED}} |
40 | 34 | #' \item{pop}{total population, in thousands,
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41 | 35 | #' \url{http://research.stlouisfed.org/fred2/series/POP}}
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| 36 | +#' \item{psavert}{personal savings rate, |
| 37 | +#' \url{http://research.stlouisfed.org/fred2/series/PSAVERT/}} |
| 38 | +#' \item{uempmed}{median duration of unemployment, in weeks, |
| 39 | +#' \url{http://research.stlouisfed.org/fred2/series/UEMPMED}} |
| 40 | +#' \item{unemploy}{number of unemployed in thousands, |
| 41 | +#' \url{http://research.stlouisfed.org/fred2/series/UNEMPLOY}} |
42 | 42 | #' }
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43 | 43 | #'
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44 | 44 | "economics"
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50 | 50 | #'
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51 | 51 | #' Demographic information of midwest counties
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52 | 52 | #'
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53 |
| -#' @format A data frame with 437 rows and 28 variables |
| 53 | +#' @format A data frame with 437 rows and 28 variables: |
54 | 54 | #' \describe{
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55 | 55 | #' \item{PID}{}
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56 | 56 | #' \item{county}{}
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85 | 85 | "midwest"
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86 | 86 |
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87 | 87 |
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88 |
| -#' Fuel economy data from 1999 and 2008 for 38 popular models of car |
| 88 | +#' Fuel economy data from 1999 to 2008 for 38 popular models of cars |
89 | 89 | #'
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90 | 90 | #' This dataset contains a subset of the fuel economy data that the EPA makes
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91 | 91 | #' available on \url{http://fueleconomy.gov}. It contains only models which
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92 | 92 | #' had a new release every year between 1999 and 2008 - this was used as a
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93 | 93 | #' proxy for the popularity of the car.
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94 | 94 | #'
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95 |
| -#' @format A data frame with 234 rows and 11 variables |
| 95 | +#' @format A data frame with 234 rows and 11 variables: |
96 | 96 | #' \describe{
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97 |
| -#' \item{manufacturer}{} |
| 97 | +#' \item{manufacturer}{manufacturer name} |
98 | 98 | #' \item{model}{model name}
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99 | 99 | #' \item{displ}{engine displacement, in litres}
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100 | 100 | #' \item{year}{year of manufacture}
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119 | 119 | #' Additional variables order, conservation status and vore were added from
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120 | 120 | #' wikipedia.
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121 | 121 | #'
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122 |
| -#' @format A data frame with 83 rows and 11 variables |
| 122 | +#' @format A data frame with 83 rows and 11 variables: |
123 | 123 | #' \describe{
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124 | 124 | #' \item{name}{common name}
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125 | 125 | #' \item{genus}{}
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140 | 140 | #' The names of each president, the start and end date of their term, and
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141 | 141 | #' their party of 11 US presidents from Eisenhower to Obama.
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142 | 142 | #'
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143 |
| -#' @format A data frame with 11 rows and 4 variables |
| 143 | +#' @format A data frame with 11 rows and 4 variables: |
| 144 | +#' \describe{ |
| 145 | +#' \item{name}{Last name of president} |
| 146 | +#' \item{start}{Presidency start date} |
| 147 | +#' \item{end}{Presidency end date} |
| 148 | +#' \item{party}{Party of president} |
| 149 | +#' } |
144 | 150 | "presidential"
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145 | 151 |
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146 | 152 | #' Vector field of seal movements
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161 | 167 | #' A 2d density estimate of the waiting and eruptions variables data
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162 | 168 | #' \link{faithful}.
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163 | 169 | #'
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164 |
| -#' @format A data frame with 5,625 observations and 3 variables. |
| 170 | +#' @format A data frame with 5,625 observations and 3 variables: |
| 171 | +#' \describe{ |
| 172 | +#' \item{eruptions}{Eruption time in mins} |
| 173 | +#' \item{waiting}{Waiting time to next eruption in mins} |
| 174 | +#' \item{density}{2d density estimate} |
| 175 | +#' } |
165 | 176 | "faithfuld"
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166 | 177 |
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167 | 178 | #' `colors()` in Luv space
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182 | 193 | #'
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183 | 194 | #' @format A data frame with 8602 observations and 9 variables:
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184 | 195 | #' \describe{
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185 |
| -#' \item{city}{Name of MLS area} |
| 196 | +#' \item{city}{Name of multiple listing service (MLS) area} |
186 | 197 | #' \item{year,month,date}{Date}
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187 | 198 | #' \item{sales}{Number of sales}
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188 | 199 | #' \item{volume}{Total value of sales}
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