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In [1]:

    
y <- rnorm(10)
y









    Out[1]:





	-0.427941557436343
	1.10644535582692
	1.34039435678912
	0.294523204730715
	0.0187115904027036
	0.467594295491113
	0.688993085121717
	-1.17501892889466
	-0.0823682094795584
	0.0193519484585404



In [2]:

    
quantile(y, type=1)









    Out[2]:





	0%
		-1.17501892889466
	25%
		-0.0823682094795584
	50%
		0.0193519484585404
	75%
		0.688993085121717
	100%
		1.34039435678912



In [3]:

    
quantile(y, type=2)









    Out[3]:





	0%
		-1.17501892889466
	25%
		-0.0823682094795584
	50%
		0.156937576594628
	75%
		0.688993085121717
	100%
		1.34039435678912



In [4]:

    
quantile(y, type=3)









    Out[4]:





	0%
		-1.17501892889466
	25%
		-0.427941557436343
	50%
		0.0193519484585404
	75%
		0.688993085121717
	100%
		1.34039435678912



In [5]:

    
quantile(y, type=4)









    Out[5]:





	0%
		-1.17501892889466
	25%
		-0.255154883457951
	50%
		0.0193519484585404
	75%
		0.578293690306415
	100%
		1.34039435678912



In [6]:

    
quantile(y, type=5)









    Out[6]:





	0%
		-1.17501892889466
	25%
		-0.0823682094795584
	50%
		0.156937576594628
	75%
		0.688993085121717
	100%
		1.34039435678912



In [7]:

    
quantile(y, type=6)









    Out[7]:





	0%
		-1.17501892889466
	25%
		-0.168761546468755
	50%
		0.156937576594628
	75%
		0.793356152798018
	100%
		1.34039435678912



In [8]:

    
quantile(y, type=7)









    Out[8]:





	0%
		-1.17501892889466
	25%
		-0.0570982595089929
	50%
		0.156937576594628
	75%
		0.633643387714066
	100%
		1.34039435678912



In [9]:

    
quantile(y, type=8)









    Out[9]:





	0%
		-1.17501892889466
	25%
		-0.111165988475957
	50%
		0.156937576594628
	75%
		0.72378077434715
	100%
		1.34039435678912



In [10]:

    
quantile(y, type=9)









    Out[10]:





	0%
		-1.17501892889466
	25%
		-0.103966543726857
	50%
		0.156937576594628
	75%
		0.715083852040792
	100%
		1.34039435678912



In [ ]: