R Language Learning notes-statistical functions

There are many useful statistical functions in the R language. For example arithmetic averages:

Mean (x)

Find the average of x.

Mean (x, trim=0.05, Na.rm=true)
A truncated average is provided, which discards the data with a maximum of 5% and a minimum of 5% and the arithmetic averages after all missing values.

Common statistical functions provided by R:

function	Describe
Mean (x)	Average
	Mean (c (1,2,3,4)) return value is 2.5
Median (x)	Number of Median
	Median (c (1,2,3,4)) return value is 2.5
SD (x)	Standard deviation
	SD (C (1,2,3,4)) return value is 1.29
var (x)	Variance
	VAR (c (1,2,3,4)) return value is 1.67
Mad (x)	Absolute median difference (median absolute deviation)
	Mad (C (1,2,3,4)) return value is 1.48
Quantile (X,probs)	To find the number of bits. where x is the numerical vector of the number of probs to be divided into a probability value between [0,1]
	The numerical vector
	# 30% and 84% sub-sites for X
	Y <-quantile (x, C (. 3,.84))
Range (x)	Ask for a domain
	x <-C (1,2,3,4)
	Range (x) return value is C (1,4)
diff (Range (x))	The return value is 3
SUM (x)	Sum
	Sum (c (1,2,3,4)) returns a value of 10
diff (X, lag=n)	Lag differential, lag is used to specify several lags. The default lag value is 1
	x<-C (1, 5, 23, 29)
	diff (x) return value is C (4, 18, 6)
MIN (x)	To find the minimum value
	Min (c (1,2,3,4)) return value is 1
Max (x)	To find the maximum value
Max (c (1,2,3,4))	The return value is 4
Scale (X,center=true, Scale=true)	Center (center=true) or standardize (Center=true,scale =true) for data object x by column;

R Language Learning notes-statistical functions