How to generate frequency table from raw data in R

I am new to R. I want to generate a frequency table from raw data (decimals) like: ``` x V1 1 10.10 2 46.65 3 53.60 4 38.50 5 45.95 6 12.25 7 59.60 8 23.30 9 11.05 10 58.35 11 40.20 12 11.05 13 10.45 14 26.45 15 13.25 16 21.15 17 35.00 18 29.05 19 25.40 20 47.20 21 42.45 22 57.30 23 55.65 24 56.50 25 26.95 26 59.65 27 32.10 28 29.00 29 34.75 30 21.65 ``` into something like this: ``` Class Frequency (10.00 - 19.99) 6 (20.00 - 29.99) 8 (30.00 - 39.99) 4 (40.00 - 49.99) 5 (50.00 - 59.99) 7 ``` I use the code below: ``` factorx<-factor(cut(x, breaks=nclass.Sturges(x))) ``` but I get something like this: Error in cut.default(x, breaks = nclass.Sturges(x)) : 'x' must be numeric How should I make 'x' numeric? As requested: h <- dput(x) structure(list(V1 = c(10.1, 46.65, 53.6, 38.5, 45.95, 12.25, 59.6, 23.3, 11.05, 58.35, 40.2, 11.05, 10.45, 26.45, 13.25, 21.15, 35, 29.05, 25.4, 47.2, 42.45, 57.3, 55.65, 56.5, 26.95, 59.65, 32.1, 29, 34.75, 21.65)), .Names = "V1", class = "data.frame", row.names = c(NA, -30L))