r:extracting_variable_names_and_lables
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z <- gzcon(url("http://commres.net/wiki/_media/r/states.rds"))
data <- read.RDS(z)
head(data, 8)
> head(data,8)
X state region pop area density metro waste energy miles toxic green house
1 1 Alabama South 4041000 52423 77.08 67.4 1.11 393 10.5 27.86 29.25 30
2 2 Alaska West 550000 570374 0.96 41.1 0.91 991 7.2 37.41 NA 0
3 3 Arizona West 3665000 113642 32.25 79.0 0.79 258 9.7 19.65 18.37 13
4 4 Arkansas South 2351000 52075 45.15 40.1 0.85 330 8.9 24.60 26.04 25
5 5 California West 29760000 155973 190.80 95.7 1.51 246 8.7 3.26 15.65 50
6 6 Colorado West 3294000 103730 31.76 81.5 0.73 273 8.3 2.25 21.89 36
7 7 Connecticut N. East 3287000 4845 678.43 92.4 0.88 234 8.0 6.49 14.63 64
8 8 Delaware South 666000 1955 340.66 66.3 1.13 349 9.8 9.88 21.53 69
senate csat vsat msat percent expense income high college
1 10 991 476 515 8 3627 27.498 66.9 15.7
2 20 920 439 481 41 8330 48.254 86.6 23.0
3 33 932 442 490 26 4309 32.093 78.7 20.3
4 37 1005 482 523 6 3700 24.643 66.3 13.3
5 47 897 415 482 47 4491 41.716 76.2 23.4
6 58 959 453 506 29 5064 35.123 84.4 27.0
7 87 897 429 468 81 7602 48.618 79.2 27.2
8 83 892 428 464 61 5865 40.641 77.5 21.4
data <- data[-1]
data.info <- data.frame(attributes(data)[c("names", "var.labels")])
data.info
r/extracting_variable_names_and_lables.1511427837.txt.gz · Last modified: 2017/11/23 17:33 by hkimscil