How To Use Pnorm In R

How to use pnorm function on data frame columns in R?

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The pnorm function is used to notice the probability for a ordinarily distributed random variable. Probabilities such as less than mean, greater than mean, or probability betwixt left- and right-manus side of the mean. If nosotros want to utilize pnorm office on information frame columns and then apply office can help united states.

Consider the below data frame −

Example

 Live Demo

x1<-rnorm(20,5,0.35) x2<-rnorm(20,5,0.67) x3<-rnorm(20,v,0.04) df1<-data.frame(x1,x2,x3) df1

Output

       x1    x2         x3 ane  4.556392  v.973934   5.018973 ii  5.217397  4.932053   4.975870 iii  5.426464  4.932799   4.962231 four  four.930645  five.297919   5.017925 5  4.773804  4.768619   four.943131 half-dozen  4.963782  4.569909   iv.950701 7  4.925481  v.329717   4.985630 eight  iv.940240  five.871122   5.007031 nine  4.904643  5.270739   five.022102 x 4.652542  five.784937   5.005462 xi 5.089297  4.479673   iv.961000 12 five.619575  4.181733   4.983067 13 4.696906  iv.451156   4.931908 14 5.177524  iv.422826   five.052467 fifteen 5.186783  v.184310   v.015104 xvi 4.497172  5.241887   iv.996715 17 4.689212  5.252937   5.035001 18 five.385772  4.095684   5.035014 19 five.455497  5.142272   v.021073 xx 5.417301  five.025720   v.005374

Applying pnorm on columns in df1 −

Example

apply(df1,2,role(x) pnorm(10,mean=mean(x),sd=sd(x)))

Output

       x1          x2           x3 [1,]  0.07616627  0.96450889   0.75138999 [2,]  0.72115750  0.44156102   0.27056837 [iii,]  0.88960525  0.44211276   0.15403922 [four,]  0.38629544  0.70493965   0.74135388 [5,]  0.22132609  0.32516348   0.05581552 [6,]  0.42550072  0.20448316   0.08623025 [7,]  0.38027932  0.72516490   0.37486428 [8,]  0.39754810  0.94661794   0.62607863 [9,]  0.35630529  0.68712704   0.78009609 [10,] 0.12759048  0.92666438   0.60816173 [11,] 0.57741133  0.15991056   0.14545675 [12,] 0.96515143  0.06018775   0.34616630 [13,] 0.15806523  0.14725726   0.02700442 [14,] 0.67888286  0.13536904   0.95364621 [15,] 0.68893707  0.62769115   0.71330952 [16,] 0.05346986  0.66772918   0.50508628 [17,] 0.15246286  0.67521495   0.87668128 [18,] 0.86438253  0.04322155   0.87676402 [19,] 0.90541682  0.59753060   0.77087289 [20,] 0.88424194  0.51137989   0.60714737

Example

 Live Demo

y1<-rpois(twenty,five) y2<-rpois(20,2) y3<-rpois(20,two) y4<-rpois(xx,5) y5<-rpois(20,10) df2<-data.frame(y1,y2,y3,y4,y5) df2

Output

   y1 y2 y3 y4 y5 1  vii  four  3  iii  10 2  vii  2  2  5  6 three  2  i  four  4  11 4  v  one  2  6  13 five  6  two  3  nine  10 6  vii  4  4  four  7 7  five  3  2  7  fifteen 8  ii  i  ane  3  15 9  3  1  2  4  9 x 4  3  1  four  xv 11 1  4  iv  4  13 12 5  6  4  8  9 xiii iii  0  five  2  fourteen 14 vii  2  one  8  7 xv 6  3  4  five  x sixteen three  2  two  6  xix 17 four  ane  5  5  eleven 18 7  2  one  five  11 19 half dozen  i  2  nine  nine xx iii  3  4  3  ix

Applying pnorm on columns in df2 −

Instance

use(df2,2,function(x) pnorm(x,hateful=mean(x),sd=sd(x)))

Output

           y1        y2         y3           y4         y5 [1,]  0.88543697  0.87874297  0.55840970  0.14362005  0.36298572 [ii,]  0.88543697  0.41829947  0.27834877  0.46146443  0.05825608 [3,]  0.08752759  0.18573275  0.81101173  0.28079874  0.48176830 [4,]  0.57107536  0.18573275  0.27834877  0.65061458  0.71356535 [5,]  0.75517414  0.41829947  0.55840970  0.96698029  0.36298572 [6,]  0.88543697  0.87874297  0.81101173  0.28079874  0.10296979 [vii,]  0.57107536  0.68482707  0.27834877  0.80804251  0.87967779 [viii,]  0.08752759   0.18573275 0.09300983  0.14362005  0.87967779 [9,]  0.19922632  0.18573275  0.27834877  0.28079874  0.25614928 [10,] 0.36970390  0.68482707  0.09300983  0.28079874  0.87967779 [eleven,] 0.03088880  0.87874297  0.81101173  0.28079874  0.71356535 [12,] 0.57107536  0.99451570  0.81101173  0.91220051  0.25614928 [thirteen,] 0.19922632  0.05691416  0.94698775  0.06082067  0.80746817 [fourteen,] 0.88543697  0.41829947  0.09300983  0.91220051  0.10296979 [15,] 0.75517414  0.68482707  0.81101173  0.46146443  0.36298572 [sixteen,] 0.19922632  0.41829947  0.27834877  0.65061458  0.99163233 [17,] 0.36970390  0.18573275  0.94698775  0.46146443  0.48176830 [18,] 0.88543697  0.41829947  0.09300983  0.46146443  0.48176830 [19,] 0.75517414  0.18573275  0.27834877  0.96698029  0.25614928 [twenty,] 0.19922632  0.68482707  0.81101173  0.14362005  0.25614928

Published on 10-Feb-2021 06:21:36

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How To Use Pnorm In R,

Source: https://www.tutorialspoint.com/how-to-use-pnorm-function-on-data-frame-columns-in-r

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