How to access values in a frequency table

问题:

I have a frequency table, counting the frequency of elements in a vector

a = table(c(0,1,1,1,0,2,2,4,1,2,3,2,1,2,3,1,1,1,2,3,4,1,1,0))
a
#  0  1  2  3  4 
#  3 10  6  3  2

I know I can access the name by names(a). But when I tried to access the values of the SECOND row

a[1, "0"]
# Error in a[1, "0"] : incorrect number of dimensions

a[1, 1]
# Error in a[1, 1] : incorrect number of dimensions

回答1:

This table is actually an array.

x <- c(0,1,1,1,0,2,2,4,1,2,3,2,1,2,3,1,1,1,2,3,4,1,1,0)
(a <- table(x))
#
# 0  1  2  3  4 
# 3 10  6  3  2 
class(unclass(a))
# [1] "array"

Its names are on top, and values on bottom.

names(a)
[1] "0" "1" "2" "3" "4"

You can access its elements a number of ways.

a[1]                     ## access named element by index
# 0 
# 3
a[[1]]                   ## access unnamed element by index
# [1] 3
a["0"]                   ## access named element by name
# 0 
# 3 
a[["0"]]                 ## access unnamed element by name
# [1] 3
as.vector(a)             ## as.vector() drops table down to unnamed vector
# [1]  3 10  6  3  2
c(a)[2:4]                ## c() drops table down to named vector
#  1  2  3 
# 10  6  3 
class(a[2:4])
# [1] "array"
class(c(a)[2:4])
# [1] "integer"

It also has an nrow and dim attribute, which are set up in the last few lines of table.

y <- array(tabulate(bin, pd), dims, dimnames = dn)
class(y) <- "table"

Although it's really not clear to me why nrow(a) is 5 but a[1,] returns an error.

回答2:

The table() command is returning a named vector, not a matrix or data.frame. If you want to access the count of zeros, you'd do

a["0"]

Note that the numeric properties of the levels are lost because the names of named vectors must be characters. You can convert them back with as.numeric(names(a)) if you like

回答3:

The table you are using is a one dimensional array and you are using 2- dimensions to retrieve an element that's wwhy you are getting that error.

Use something like a[1]

回答4:

a = as.numeric(names(a))

it will give you access to the first column