How to compare the values of two vectors in R?

How to compare the values of two vectors in R?, Using match() and %in% we can compare vectors

Today, we’ll talk about comparing two R vectors to see what components (values).

Here, we have two choices:

The indexes of common elements are returned by the match () function in R.

  1. Indicating if a value from the first vector was present in the second.
  2. The percent in percent operation produces a vector of True or False answers.

Finding Values in Vectors using R Match

Starting with the R match() function, let’s go on.

Value<-c(15,13,12,14,12,15,30)

The first position of the matching value is returned by the r match example.

match(12, Value)
[1] 3

Example of an r match with multiple values

match (c(13,12), Value)
[1] 2 3

The initial position of each of the two values is returned by the R match function when we pass it a vector of multiple values.

Operator – Boolean Equivalent for percent in percent

Do you only require a True/False response?

Use the percent in percent operator, if possible. Similar operations are carried out, and the result is returned as a Boolean indicator indicating if the value is present.

For an example of the R percent in percent operator

by utilizing the percent in percent operator, check for a single value.

14 %in% Value
[1] TRUE

Utilize the percent in percent operator to verify a vector of multiple values.

c(10, 12) %in% Value
[1] FALSE  TRUE

what values the percent in percent operator treats when it can’t

c(10, 12, 14) %in% Value
[1] FALSE  TRUE  TRUE

Summary

The percent in percent operator and R Match; We can compare the values of two vectors using these two tools.

You may also like...

2 Responses

  1. Don MacQueen says:

    Interesting!

    “compare” is a very broad concept. Here are some more ways to use basic R functions to compare vectors — first for character vectors, then for numeric.

    ## create two character vectors
    > L1 L1
    [1] “g” “z” “n” “g” “g”
    >
    > L2

    ## what values do they have in common?
    > intersect(L1,L2)
    [1] “g” “z”

    ## what values are in L1 but not in L2
    > setdiff(L1, L2)
    [1] “n”

    ## in L2 but not in L1
    > setdiff(L2, L1)
    [1] “u” “p” “x” “l” “f” “r”
    >

    ## numeric
    > x y
    > cbind(x=range(x), y=range(y))
    x y
    [1,] 0.7332656 6.40427
    [2,] 22.7891377 14.78329

    ## if I want to put this in a report, row names will be useful
    > tmp rownames(tmp) tmp
    x y
    min 0.7332656 6.40427
    max 22.7891377 14.78329

    ## R defaulted to too many decimal places. Show fewer:
    > signif(tmp,3)
    x y
    min 0.733 6.4
    max 22.800 14.8

    ## which inspires:
    > round( cbind(quantile(x), quantile(y)) ,2)
    [,1] [,2]
    0% 0.73 6.40
    25% 6.88 9.11
    50% 8.78 10.58
    75% 12.46 12.27
    100% 22.79 14.78

    ## and R has all the tools needed to build a simple graphical comparison
    > d1 d2 xrng yrng plot(d1, xlim=xrng, ylim=yrng)
    > lines(d2, col=’red’)
    ## still needs a legend, and better title, axis labels, and such
    ## but this is enough to get started

Leave a Reply

Your email address will not be published. Required fields are marked *

four + 7 =

Ads Blocker Image Powered by Code Help Pro

Quality articles need supporters. Will you be one?

You currently have an Ad Blocker on.

Please support FINNSTATS.COM by disabling these ads blocker.

Powered By
Best Wordpress Adblock Detecting Plugin | CHP Adblock