r - Rainfall data, can't get value of table? -


i tried analyse rainfall data. problem have data in format:

head(dati)     x    x.1 x.2   x.3     1. stat   2. stat 3.stat 4. stat  5. stat 2 2013   1 val01 00:00           0     0.7                      0.2 3 2013   1 val01 01:00           0     0.5                      0.2 4 2013   1 val01 02:00           0       0                      0.2 5 2013   1 val01 03:00           0       0                        0 6 2013   1 val01 04:00           0       0                      0.1 7 2013   1 val01 05:00           0       0                        0

as see there spaces in columns, , when try dati[1,5] 

[1] 0.7  53 levels:  0 0.1 0.2  0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 ... hprab

i understand need 1 number: 0.7. how can , why there information levels?

my code was:

dati<-read.csv2("precipitation.csv", header = true,row.names=null,      sep = ";", quote = "", dec = "," , fill = true, comment.char = "") attach(dati)   dati[1,1] [1] 2013 > dati[1,6] [1] 0.7 53 levels:  0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 ... hprab > dati[1,3] [1] val01 32 levels:  val01 val02 val03 val04 val05 val06 val07 val08 val09 val10 val11 val12 ... val31 > dati[1,4] [1] 00:00 25 levels:  00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 ... 23:00 >

resolved! next code works correctly!

dati<-read.csv2("precipitation.csv", header = true,row.names=null,          sep = ";", quote = "", dec = "," , fill = true, comment.char = "")     attach(dati) as.numeric(as.character(dati[1,i]))

you information levels because columns stored factors (see ?factor). can use as.numeric(as.character(df$yourcolumn)) convert factor numeric (where df data.frame , yourcolumn column want convert).

check see if have characters (other na) in columns, because r interpret data numbers (and na) numeric.


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