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Get team list paginated by team # in 500s.

Usage

teams(page_num, year = FALSE, simple = FALSE, keys = FALSE)

Arguments

page_num

index of desired page

year

year of interest. If FALSE, gets all years

simple

(bool) simplify return objects?

keys

(bool) return keys only?

Value

tidy tibble of teams

Examples

teams(0)
#> # A tibble: 406 × 18
#>    key   team_number nickname  name  website rookie_year motto school_name city 
#>    <chr>       <int> <chr>     <chr> <chr>         <int> <lgl> <chr>       <chr>
#>  1 frc1            1 The Jugg… FCA … http:/…        1997 NA    Oakland Sc… Pont…
#>  2 frc4            4 Team 4 E… Gene… http:/…        1997 NA    High Tech … Van …
#>  3 frc5            5 Robocards Ford… http:/…        1998 NA    NA          Melv…
#>  4 frc6            6 The CogS… ATK … http:/…        1994 NA    NA          Plym…
#>  5 frc7            7 Team007   Lock… http:/…        1997 NA    NA          Balt…
#>  6 frc8            8 Paly Rob… Appl… http:/…        1996 NA    Palo Alto … Palo…
#>  7 frc9            9 Roosevel… Roos… http:/…        1998 NA    NA          Chic…
#>  8 frc10          10 Red Knig… Beni… NA             1998 NA    NA          St. …
#>  9 frc11          11 MORT      Nati… http:/…        1997 NA    Mt Olive H… Flan…
#> 10 frc13          13 Triskade… Team… NA             1996 NA    NA          NA   
#> # ℹ 396 more rows
#> # ℹ 9 more variables: state_prov <chr>, country <chr>, postal_code <chr>,
#> #   lat <lgl>, lng <lgl>, location_name <lgl>, address <lgl>,
#> #   gmaps_place_id <lgl>, gmaps_url <lgl>
teams(4)
#> # A tibble: 408 × 18
#>    key    team_number nickname name  website rookie_year motto school_name city 
#>    <chr>        <int> <chr>    <chr> <chr>         <int> <lgl> <chr>       <chr>
#>  1 frc20…        2000 TEAM RO… Will… http:/…        2007 NA    NA          Dorr 
#>  2 frc20…        2001 HERMES   Hick… http:/…        2007 NA    Ruskin Hig… Kans…
#>  3 frc20…        2002 Tualati… Bent… http:/…        2007 NA    Tualatin H… Tual…
#>  4 frc20…        2004 Thunder… Para… http:/…        2007 NA    Tulsa Tech… Tulsa
#>  5 frc20…        2005 Aerobot… Ewin… NA             2007 NA    NA          Kans…
#>  6 frc20…        2007 Robots … Nord… http:/…        2007 NA    NA          Dulu…
#>  7 frc20…        2008 VTEC     Ewin… NA             2007 NA    NA          Kans…
#>  8 frc20…        2009 Robo-Ti… Smit… http:/…        2007 NA    NA          Roxb…
#>  9 frc20…        2010 The Lig… Apti… http:/…        2007 NA    Champion H… Warr…
#> 10 frc20…        2011 SMH Rob… Ewin… http:/…        2007 NA    NA          Inde…
#> # ℹ 398 more rows
#> # ℹ 9 more variables: state_prov <chr>, country <chr>, postal_code <chr>,
#> #   lat <lgl>, lng <lgl>, location_name <lgl>, address <lgl>,
#> #   gmaps_place_id <lgl>, gmaps_url <lgl>
teams(1, year = 2016)
#> # A tibble: 148 × 18
#>    key    team_number nickname name  website rookie_year motto school_name city 
#>    <chr>        <int> <chr>    <chr> <chr>         <int> <lgl> <chr>       <chr>
#>  1 frc501         501 The Pow… AC T… http:/…        2001 NA    4-H & Manc… Manc…
#>  2 frc503         503 Frog Fo… Magn… http:/…        2001 NA    Novi High … Novi 
#>  3 frc509         509 Red Sto… Bedf… http:/…        2001 NA    Bedford Hi… Bedf…
#>  4 frc514         514 Entropy  Wend… https:…        2001 NA    Miller Pla… Mill…
#>  5 frc525         525 Swartdo… Ceda… http:/…        2001 NA    Cedar Fall… Ceda…
#>  6 frc527         527 Red Dra… Plai… http:/…        2001 NA    Plainedge … Mass…
#>  7 frc533         533 The PSI… Lind… http:/…        2001 NA    Lindenhurs… Lind…
#>  8 frc537         537 Charger… Wisc… https:…        2001 NA    Hamilton H… Suss…
#>  9 frc538         538 Renaiss… NASA… http:/…        2001 NA    Athens Ren… Athe…
#> 10 frc539         539 Titan R… &Tri… http:/…        2001 NA    Trinity Ep… Rich…
#> # ℹ 138 more rows
#> # ℹ 9 more variables: state_prov <chr>, country <chr>, postal_code <chr>,
#> #   lat <lgl>, lng <lgl>, location_name <lgl>, address <lgl>,
#> #   gmaps_place_id <lgl>, gmaps_url <lgl>
teams(0, simple = TRUE)
#> # A tibble: 406 × 7
#>    key   team_number nickname             name          city  state_prov country
#>    <chr>       <int> <chr>                <chr>         <chr> <chr>      <chr>  
#>  1 frc1            1 The Juggernauts      FCA Foundati… Pont… Michigan   USA    
#>  2 frc4            4 Team 4 ELEMENT       Gene HAAS Fo… Van … California USA    
#>  3 frc5            5 Robocards            Ford FIRST R… Melv… MI         USA    
#>  4 frc6            6 The CogSquad         ATK (Alliant… Plym… MN         USA    
#>  5 frc7            7 Team007              Lockheed Mar… Balt… MD         USA    
#>  6 frc8            8 Paly Robotics        Apple/Bayer … Palo… California USA    
#>  7 frc9            9 Roosevelt RoboRiders Roosevelt Hi… Chic… IL         USA    
#>  8 frc10          10 Red Knights          Benilde-St. … St. … MN         USA    
#>  9 frc11          11 MORT                 National Def… Flan… New Jersey USA    
#> 10 frc13          13 Triskadekamanics     Team 13       NA    NA         NA     
#> # ℹ 396 more rows
teams(3, keys = TRUE)
#>   [1] "frc1500" "frc1501" "frc1502" "frc1503" "frc1504" "frc1505" "frc1506"
#>   [8] "frc1507" "frc1508" "frc1509" "frc1510" "frc1511" "frc1512" "frc1513"
#>  [15] "frc1514" "frc1515" "frc1516" "frc1517" "frc1518" "frc1519" "frc1520"
#>  [22] "frc1522" "frc1523" "frc1524" "frc1525" "frc1527" "frc1528" "frc1529"
#>  [29] "frc1530" "frc1531" "frc1532" "frc1533" "frc1534" "frc1535" "frc1537"
#>  [36] "frc1538" "frc1539" "frc1540" "frc1541" "frc1542" "frc1543" "frc1544"
#>  [43] "frc1545" "frc1546" "frc1547" "frc1548" "frc1549" "frc1550" "frc1551"
#>  [50] "frc1552" "frc1553" "frc1554" "frc1555" "frc1556" "frc1557" "frc1558"
#>  [57] "frc1559" "frc1560" "frc1561" "frc1562" "frc1563" "frc1564" "frc1565"
#>  [64] "frc1566" "frc1567" "frc1568" "frc1569" "frc1570" "frc1571" "frc1572"
#>  [71] "frc1573" "frc1574" "frc1575" "frc1576" "frc1577" "frc1578" "frc1579"
#>  [78] "frc1580" "frc1581" "frc1582" "frc1583" "frc1584" "frc1585" "frc1588"
#>  [85] "frc1589" "frc1590" "frc1591" "frc1592" "frc1593" "frc1594" "frc1595"
#>  [92] "frc1596" "frc1597" "frc1598" "frc1599" "frc1600" "frc1601" "frc1602"
#>  [99] "frc1603" "frc1604" "frc1605" "frc1606" "frc1607" "frc1609" "frc1610"
#> [106] "frc1611" "frc1612" "frc1613" "frc1616" "frc1617" "frc1618" "frc1619"
#> [113] "frc1620" "frc1621" "frc1622" "frc1623" "frc1624" "frc1625" "frc1626"
#> [120] "frc1628" "frc1629" "frc1631" "frc1633" "frc1634" "frc1635" "frc1636"
#> [127] "frc1640" "frc1641" "frc1642" "frc1643" "frc1644" "frc1645" "frc1646"
#> [134] "frc1647" "frc1648" "frc1649" "frc1650" "frc1651" "frc1652" "frc1653"
#> [141] "frc1654" "frc1655" "frc1656" "frc1657" "frc1658" "frc1660" "frc1661"
#> [148] "frc1662" "frc1665" "frc1666" "frc1667" "frc1669" "frc1670" "frc1671"
#> [155] "frc1672" "frc1674" "frc1675" "frc1676" "frc1677" "frc1678" "frc1680"
#> [162] "frc1682" "frc1683" "frc1684" "frc1685" "frc1686" "frc1687" "frc1688"
#> [169] "frc1689" "frc1690" "frc1691" "frc1692" "frc1693" "frc1694" "frc1695"
#> [176] "frc1696" "frc1697" "frc1698" "frc1699" "frc1700" "frc1701" "frc1702"
#> [183] "frc1703" "frc1704" "frc1705" "frc1706" "frc1707" "frc1708" "frc1709"
#> [190] "frc1710" "frc1711" "frc1712" "frc1713" "frc1714" "frc1715" "frc1716"
#> [197] "frc1717" "frc1718" "frc1719" "frc1720" "frc1721" "frc1722" "frc1723"
#> [204] "frc1724" "frc1725" "frc1726" "frc1727" "frc1728" "frc1729" "frc1730"
#> [211] "frc1731" "frc1732" "frc1733" "frc1734" "frc1735" "frc1736" "frc1737"
#> [218] "frc1738" "frc1739" "frc1740" "frc1741" "frc1742" "frc1743" "frc1744"
#> [225] "frc1745" "frc1746" "frc1747" "frc1748" "frc1749" "frc1750" "frc1751"
#> [232] "frc1752" "frc1753" "frc1754" "frc1755" "frc1756" "frc1757" "frc1758"
#> [239] "frc1759" "frc1760" "frc1761" "frc1763" "frc1764" "frc1765" "frc1766"
#> [246] "frc1767" "frc1768" "frc1769" "frc1770" "frc1771" "frc1772" "frc1774"
#> [253] "frc1775" "frc1776" "frc1777" "frc1778" "frc1779" "frc1780" "frc1781"
#> [260] "frc1782" "frc1783" "frc1784" "frc1785" "frc1786" "frc1787" "frc1788"
#> [267] "frc1789" "frc1790" "frc1791" "frc1792" "frc1793" "frc1794" "frc1795"
#> [274] "frc1796" "frc1797" "frc1798" "frc1799" "frc1800" "frc1801" "frc1802"
#> [281] "frc1803" "frc1804" "frc1805" "frc1806" "frc1807" "frc1808" "frc1809"
#> [288] "frc1810" "frc1811" "frc1812" "frc1813" "frc1814" "frc1815" "frc1816"
#> [295] "frc1817" "frc1818" "frc1819" "frc1820" "frc1822" "frc1823" "frc1824"
#> [302] "frc1825" "frc1826" "frc1827" "frc1828" "frc1829" "frc1830" "frc1831"
#> [309] "frc1832" "frc1833" "frc1834" "frc1835" "frc1836" "frc1837" "frc1838"
#> [316] "frc1839" "frc1840" "frc1841" "frc1842" "frc1843" "frc1844" "frc1845"
#> [323] "frc1846" "frc1847" "frc1848" "frc1849" "frc1850" "frc1851" "frc1852"
#> [330] "frc1853" "frc1854" "frc1855" "frc1856" "frc1857" "frc1858" "frc1859"
#> [337] "frc1860" "frc1861" "frc1862" "frc1863" "frc1864" "frc1865" "frc1866"
#> [344] "frc1867" "frc1868" "frc1870" "frc1871" "frc1872" "frc1873" "frc1875"
#> [351] "frc1876" "frc1877" "frc1879" "frc1880" "frc1881" "frc1882" "frc1883"
#> [358] "frc1884" "frc1885" "frc1886" "frc1887" "frc1888" "frc1889" "frc1890"
#> [365] "frc1891" "frc1893" "frc1894" "frc1895" "frc1896" "frc1897" "frc1898"
#> [372] "frc1899" "frc1900" "frc1901" "frc1902" "frc1904" "frc1905" "frc1906"
#> [379] "frc1907" "frc1908" "frc1909" "frc1910" "frc1911" "frc1912" "frc1913"
#> [386] "frc1914" "frc1915" "frc1916" "frc1917" "frc1918" "frc1919" "frc1920"
#> [393] "frc1922" "frc1923" "frc1925" "frc1926" "frc1927" "frc1929" "frc1930"
#> [400] "frc1931" "frc1932" "frc1933" "frc1934" "frc1935" "frc1937" "frc1938"
#> [407] "frc1939" "frc1940" "frc1941" "frc1942" "frc1943" "frc1944" "frc1945"
#> [414] "frc1946" "frc1947" "frc1948" "frc1949" "frc1950" "frc1951" "frc1952"
#> [421] "frc1954" "frc1955" "frc1956" "frc1957" "frc1959" "frc1960" "frc1961"
#> [428] "frc1962" "frc1963" "frc1965" "frc1966" "frc1967" "frc1970" "frc1972"
#> [435] "frc1973" "frc1974" "frc1975" "frc1976" "frc1977" "frc1978" "frc1980"
#> [442] "frc1981" "frc1982" "frc1983" "frc1984" "frc1985" "frc1986" "frc1987"
#> [449] "frc1988" "frc1989" "frc1990" "frc1991" "frc1992" "frc1994" "frc1995"
#> [456] "frc1996" "frc1997" "frc1998" "frc1999"