Submitted by : Manoj Pawar
Programming Tutorials: R Programming
Posted on : 2019-09-06
In R statistical analysis can be determined by using many in-built function.These in-built function takes R vector as an input along with no of argument and gives us result.
We are discussing These function i.e mean,median,trim.
Mean calculated by using taking sum of values and divide it with number of values .
X: is a input vector
Trim: is used to drop some observation from both end of vector.
Na.rm: is used to remove missing value from the input vector.
> x<-c(-2,-3,-3,5,6,78,30,54) > print(x)  -2 -3 -3 5 6 78 30 54 > y<-mean(x) //We are calculating mean of x and stored into y variable. > print(y) Output:  20.625
Median shows the middle value in data series.And it can calculated by using median() function.
X:is a input vector.
Na.rm:is used to remove missing value from the input vector.
> x<-c(-2,-3,-5,5,3,8,34,24) > print(x)  -2 -3 -5 5 3 8 34 24 > y<-median(x) > print(y) Output:  4
it is used to drop observation from both end of vector.when trim argument is supplied.the value of vector get sorted.For example:when trim=0.3, it will drop some observation from both end of sorted vector.i.e supposed x is a sorted vector containing some values
and values removed from sorted vector (-21,3.0,4.0) from the left and from the right (8.9,9.5,16.5).
> x<-c(-2,-3,-5,5,7,78,34,32) > result<-mean(x,trim=0.3) > print(result) output:  10.5