How to generate standard normal random numbers in R?

A standard normal distribution is the type of distribution that has mean equals to zero with standard deviation 1. If we want to generate standard normal random numbers then rnorm function of R can be used but need to pass the mean = 0 and standard deviation = 1 inside this function.
 Live Demo
rnorm(10,0,1)
[1] 0.6936607 -0.7967657 -2.7544428 0.2688767 0.5278463 -1.5387568
[7] 1.1716632 -1.5033895 0.8112929 -1.0101065
 Live Demo
rnorm(50,0,1)
[1] 2.58246666 -0.53083341 -0.57343343 1.08172756 1.30341849 -0.07440422
[7] -0.41869305 -0.96227706 -0.46899119 1.55428279 0.09162738 -0.96027221
[13] -0.84735327 -1.74949782 0.58541758 0.23117630 0.47402479 -0.72453853
[19] 0.07171564 1.13088794 0.18735157 0.25091758 -1.34728315 -0.39768159
[25] -0.38109955 -0.34019286 -1.51778561 -0.92222239 -1.22798041 -0.77350032
[31] -1.65852274 0.51227977 0.83822730 0.45359267 0.49714674 -1.47674552
[37] -0.01242228 1.60937112 0.38869615 1.73720338 0.56832087 -0.35619856
[43] -1.74371897 -0.77162373 -1.80142363 -0.92801065 0.92791947 0.14078622
[49] -1.55200961 -0.06995120
 Live Demo
rnorm(60,0,1)
[1] -0.98030635 0.14934486 -1.55025640 0.80780101 -0.54240515 0.14488726
[7] 2.89290245 1.10729520 0.08050478 -0.44497057 1.10941494 1.74939247
[13] 0.84032675 0.47427879 0.11898992 1.85356655 0.19312780 -0.47810793
[19] 2.36569993 -0.45530246 -0.81494824 -1.99941347 -0.50359976 0.55592840
[25] 1.14048452 -1.02259883 -1.17629055 1.48930583 1.76136612 0.70749370
[31] 0.88976803 0.87302066 -0.90594396 -0.92584519 -0.57771767 -2.01680635
[37] 1.25990880 0.87272304 3.86728923 0.48660167 2.12238845 -1.23884756
[43] -0.29534035 -1.66654062 -0.92580904 0.46701435 -0.27171548 -0.79118171
[49] -1.87119180 -1.43572885 3.60672069 0.58631139 -0.38245860 0.62229426
[55] -0.54297322 -2.39866511 -1.91755583 -0.61459590 0.11865738 0.65653693
 Live Demo
rnorm(80,0,1)
[1] -0.21167734 1.00334018 0.58986878 -1.15025242 0.83748340 0.04415646
[7] 0.21006101 -0.35285172 -0.53306794 -0.31683124 -0.15284674 1.72136890
[13] 0.67868984 -0.40103797 0.19409371 -0.31236848 1.08174032 0.82741254
[19] 1.52301592 0.92592501 -1.13193294 -0.52651889 -0.22310016 -0.93938644
[25] 0.27894221 -2.89894569 0.36546350 0.84345631 -0.81706708 0.18261437
[31] -0.69591250 1.09539577 -1.15864497 -0.22639388 -0.32866906 -1.12182835
[37] -0.08435003 1.81382691 0.04255180 -0.32941539 2.64070059 1.56935548
[43] -0.24635038 0.62292947 1.05232124 0.67012389 0.91400357 0.26348570
[49] -0.35494585 1.09602375 -1.39164787 -0.36638726 1.76550599 -0.22423221
[55] -0.33138915 -0.66652623 -0.50509947 -0.93338252 -2.70014038 -0.52016919
[61] 0.80396082 0.75912405 0.52966924 0.76088675 0.87390249 0.19404944
[67] -0.94092779 -1.20741440 -1.28536191 0.03052385 -2.23973254 -0.39531601
[73] -0.84322501 0.78849127 1.70032152 1.11591005 -1.15304534 -1.23219567
[79] 0.91807504 1.21157462
 Live Demo
rnorm(100,0,1)
[1] -0.60163722 0.62726820 -0.78769462 0.72244706 -0.57654069 0.21386083
[7] -0.53096986 0.34563279 -0.97023650 -0.94702500 -0.37624883 0.44073439
[13] 0.51851495 -1.93362586 0.74274197 -0.81861024 -0.49963242 1.45553031
[19] -0.47880775 -0.23169624 0.46348261 -1.19764668 0.77737123 -0.50783209
[25] -1.58899290 0.50528381 1.89222336 -0.57809997 0.05806867 1.16785099
[31] -1.06614535 0.61556520 -0.83564718 -1.02615977 0.89271898 0.53811493
[37] -0.54849449 -0.62497474 0.25675859 0.70320768 0.05848728 0.78376690
[43] 0.44276061 -0.58697558 -0.59758547 1.22975543 1.46945195 -0.79496156
[49] -0.58237963 0.16137738 0.22260587 0.45833685 -0.17046269 0.44890726
[55] -0.15563031 0.73221957 -1.97896622 -1.47629166 -2.02214096 -0.96495535
[61] 0.63474420 1.34149420 -0.91755563 0.35488624 0.01262576 -0.34079663
[67] 0.07963539 0.88896173 1.75045613 -0.08678552 0.19245374 1.32575165
[73] 1.41738151 -1.35060833 0.63737697 0.33369705 1.27021960 1.00779108
[79] -1.19586882 0.72829141 -0.09938002 -0.79827963 -1.20575102 -1.09457152
[85] 0.66310803 -0.41086839 -0.50120916 0.02167787 0.60022806 2.94091060
[91] -0.39845012 0.82483674 -2.72699869 -0.48183377 0.57821380 -0.85565220
[97] 2.55905507 0.24447168 0.53042496 -0.31205488