Pfthb

I have two variables, X and Y:

x <- c(1.18,1.42,0.69,0.88,1.69,1.09,1.53,1.02,1.19,1.32)
y <- c(1.72,1.42,1.69,0.79,1.79,0.77,1.44,1.29,1.96,0.99)

I would like to create a table of the absolute, relative and cumulative frequencies of both X and Y in R

 plot(table(x)/length(x), type ="h", ylab = "Relative Frequency", xlim = c(0.6,1.8))
 plot(table(y)/length(y), type ="h", ylab = "Relative Frequency", xlim = c(0.6,1.8))

I did a sample of the relative frequency but it came out like this: plot of the relative frequency. I think it is wrong. What do you think? Also, how can I use hist(x)$counts to obtain the absolute and cumulative frequencies?

I'm not sure why you wish to use hist(x). Everything can be obtained using table:

# Absolute frequencies
table(x)
# x
# 0.69 0.88 1.02 1.09 1.18 1.19 1.32 1.42 1.53 1.69 
# 1 1 1 1 1 1 1 1 1 1 

# Relative frequencies
table(x) / length(x)
# x
# 0.69 0.88 1.02 1.09 1.18 1.19 1.32 1.42 1.53 1.69 
# 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 

# Cumulative frequencies
cumsum(table(x))
# 0.69 0.88 1.02 1.09 1.18 1.19 1.32 1.42 1.53 1.69 
# 1 2 3 4 5 6 7 8 9 10 

and the same for y. As to put them together,

rbind(Absolute = table(x), 
 Relative = table(x) / length(x), 
 Cumulative = cumsum(table(x)))
# 0.69 0.88 1.02 1.09 1.18 1.19 1.32 1.42 1.53 1.69
# Absolute 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
# Relative 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
# Cumulative 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0

The results are correct, although indeed somewhat boring. If you have more data, with repetitions, it will look better.