我必须阅读一个SAV文件我使用包haven
library(haven)
dataset<- read_sav("datafile.sav")
在控制台中,我可以看到标签:
dput(head(voyages$portdep))
structure(c(50422, 50299, 50299, 50299, NA, NA), label = "Port of departure", labels = c(Alicante = 10101,
Barcelona = 10102, Bilbao = 10103, Cadiz = 10104, Figuera = 10105,
Gibraltar = 10106, `La Coruña` = 10107, Santander = 10110, Seville = 10111,
`San Lucar` = 10112, Vigo = 10113, `Spain, port unspecified` = 10199,
Lagos = 10202, Lisbon = 10203, Oporto = 10204, `Ilho do Fayal` = 10205,
Setubal = 10206, `Portugal, port unspecified` = 10299, `Great Britain, port unspecified` = 10399,
Barmouth = 10401, Bideford = 10402, Birkenhead = 10403, Bristol = 10404,
Brixham = 10405, Broadstairs = 10406, Cawsand = 10407, Chepstow = 10408,
Chester = 10409, Colchester = 10410, Cowes = 10411, Dartmouth = 10412,
Deptford = 10413, Dover = 10414, Exeter = 10415, Folkstone = 10416,
Frodsham = 10417, Gainsborough = 10418, Greenwich = 10419, Guernsey = 10420,
Harwich = 10421, Hull = 10422, Ilfracombe = 10423, Ipswich = 10424,
`Isle of Man` = 10425, `Isle of Wight` = 10426, Jersey = 10427,
Kendal = 10428, `King's Lynn` = 10429, Lancaster = 10430, Lindale = 10431,
Liverpool = 10432, London = 10433, Lyme = 10434, Maryport = 10436,
`Milford Haven` = 10437, `New Shoreham` = 10438, `Newcastle upon Tyne` = 10439,
Newnham = 10440, `North Shields` = 10441, Norwich = 10443, Padstowe = 10444,
Parkgate = 10445, `Piel of Foulney` = 10446, Plymouth = 10447,
Poole = 10448, Portsery = 10449, Portsmouth = 10450, Poulton = 10451,
Preston = 10452, Ramsgate = 10453, Ravenglass = 10454, `River Thames` = 10455,
Rochester = 10456, Rotherhithe = 10457, Rye = 10458, Scarborough = 10459,
Sheerness = 10460, Shields = 10461, Shoreham = 10462, Sidmouth = 10463,
Southampton = 10464, Stockton = 10466, Stockwithe = 10467, Sunderland = 10468,
Teignmouth = 10469, Topsham = 10470, Torbay = 10471, Wales = 10472,
在html表中,我只有值:
如何用spss文件的data.frames中的标签替换值?以在html表中显示?
使用sjlabelled包,我可以获取任何列的标签:
library(sjlabelled)
get_labels(voyages$portdep)
1]“阿利坎特”“巴塞罗那”“毕尔巴鄂”“加的斯”[5]“ Figuera”“ Gibraltar”“ LaCoruña”“ Santander”[9]“塞维利亚”“圣卢卡”“维戈”“西班牙,未指定港口”[13]“拉各斯”,“里斯本”,“波尔图”,“伊尔·杜·费亚尔”[17]“塞图巴尔”,“葡萄牙,未指定的港口”,“英国,未指定的港口”,“巴茅斯”[21]“比德福德”“伯肯黑德”“布里斯托尔”“布里克瑟姆”[25]“宽阔的楼梯”“ Cawsand”“ Chepstow”“ Chester”[29]“科尔切斯特”“母牛”“达特茅斯”“德普特福德”[33]“多佛”,“埃克塞特”,“福克斯通”,“弗罗德舍姆”[37]“盖恩斯伯勒”“格林威治”“根西岛”“哈里奇”[41]“船体”“ Ilfracombe”“ Ipswich”“人岛”[45]“怀特岛”“ Jersey”“ Kendal”“ King's Lynn”
我尝试过:
在单列上:
dataset2 <- dataset %>% mutate(portdep = get_labels(portdep))
Erreur:列portdep
的长度必须为36002(行数)或一个,而不是847
在所有数据框上:
dataset2 <- dataset %>% mutate_all(funs(get_labels(.)))
在第一列上出现相同错误:列xxx的长度必须为36002(行数)或一个,而不是2]]
我必须读取一个SAV文件,我使用了避风港图书馆(避风港)数据集
我认为您可以通过使用haven::as_factor
获得所需的内容。
代替使用haven
包,您可以尝试foreign
。我使用了自己的数据try.sav
,其中包括变量gender
: