README.md
In ljofre/epg3308: Analisis Descritivo y Simulacion de Variables Aleatorias
epg3308 
Biblioteca de estadistica descriptiva en R
Instalación
# install.packages("devtools")
devtools::install_github("ljofre/epg3308")
Uso de la libreria
Datos de prueba
>library(describeNsimulate)
>data("albahaca")
>head(albahaca)
produccion temp alt n.riegos hum sexo marca cuidado
1 46.44 14.93 590 9 2 0 3 1
2 27.77 13.05 586 5 2 0 2 1
3 47.02 18.86 939 12 1 1 1 1
4 32.38 14.32 833 8 3 1 2 2
5 30.40 13.34 819 7 1 0 1 1
6 27.24 12.95 604 4 3 1 3 1
funciones básicas de estadistica descriptiva
# Coeficiente de Asimetria de Fisher
> asimetria.fisher(albahaca$produccion,'SI')
[1] "Asimetria Negativa"
[1] -0.1934995
#Curtosis
> curtosis(albahaca$produccion,'SI')
[1] "Distribucion Platicurtica"
[1] 2.251493
#Cuartiles *******
> cuartiles(albahaca$produccion)
Cuartiles
Q1 29.26
Q2 38.97
Q3 46.45
#Correlacion de Pearson *********
> corr.pearson(albahaca,"n.riegos","produccion")
[1] 0.7930546
[1] "Asosiacion Lineal Positiva"
#Matriz Correlaciones Pearson
> corr.matrix.pearson(albahaca)
produccion temp alt n.riegos
produccion 1.0000000 0.3567275 -0.3984812 0.7930546
temp 0.3567275 1.0000000 0.1889965 0.2377609
alt -0.3984812 0.1889965 1.0000000 0.1408494
n.riegos 0.7930546 0.2377609 0.1408494 1.0000000
#Matriz Correlaciones Spearman
> corr.matrix.spearman(albahaca)
produccion temp alt n.riegos
produccion 1.0000000 0.8631957 0.8190119 0.8575672
temp 0.8631957 1.0000000 0.8468730 0.7956535
alt 0.8190119 0.8468730 1.0000000 0.7920263
n.riegos 0.8575672 0.7956535 0.7920263 1.0000000
#Covarianza
> covarianza(albahaca$produccion,albahaca$temp)
[1] 10.11587
#Coeficiente Variacion
> coeficiente.variacion(albahaca$produccion)
[1] 0.2882387
#Promedio
> promedio(albahaca$produccion)
[1] 37.5985
#Suma
> suma(albahaca$produccion)
[1] 1503.94
Resumenes Descriptivos
Categoricas
descriptive.categorical(albahaca)
[1] "hum"
hum n proporcion odds error std
1 1 7 0.175 0.2121 0.0601
2 2 15 0.375 0.6000 0.0765
3 3 18 0.450 0.8182 0.0787
[1] "sexo"
sexo n proporcion odds error std
1 0 19 0.475 0.9048 0.079
2 1 21 0.525 1.1053 0.079
[1] "marca"
marca n proporcion odds error std
1 1 12 0.3 0.4286 0.0725
2 2 16 0.4 0.6667 0.0775
3 3 12 0.3 0.4286 0.0725
[1] "cuidado"
cuidado n proporcion odds error std
1 1 20 0.5 1 0.0791
2 2 20 0.5 1 0.0791
Numéricas
> descriptive.continue(albahaca)
n promedio suma std CV asimetria curtosis minimo maximo Q1 Q2
produccion 40 37.598 1503.94 10.837 0.288 -0.193 2.251 12.94 60.31 35.67 39.31
temp 40 16.466 658.64 2.617 0.159 -0.018 1.727 12.07 20.92 18.65 18.20
alt 40 790.375 31615.00 158.639 0.201 -0.185 1.426 502.00 988.00 779.00 974.00
n.riegos 40 7.500 300.00 2.253 0.300 0.131 1.948 4.00 12.00 6.50 9.00
Q3
produccion 35.67
temp 18.65
alt 779.00
n.riegos 6.50
Generación de variables aleatorias
#Simulacion Variable Aleatoria Bernulli
> sim.bernulli(100,0.4)
[1] 0 0 0 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 1 1 1 1 1 0 1 1 1 0 1 1 0 1 0 0 1 1 1 0
[47] 0 0 1 0 1 1 1 1 1 0 1 1 1 0 0 1 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 1 0 0 1
[93] 1 0 0 1 1 1 1 0
[1] "Porcentaje de unos"
[1] 0.45
[1] "Porcentaje de ceros"
[1] 0.55
#Simulacion Variable Aleatoria Binomial
> sim.binomial(100,30,0.4)
[1] 16 16 11 13 14 11 8 13 12 12 13 12 11 11 14 11 10 11 10 9 15 14 10 18 16 18 13 9 10 13 13
[32] 12 14 11 11 13 13 13 10 10 12 16 14 10 9 18 11 11 6 16 13 11 8 7 8 8 16 14 14 11 13 16
[63] 12 11 13 9 14 13 12 15 13 11 12 11 13 11 9 14 11 6 15 7 9 9 13 12 12 11 18 12 13 11 16
[94] 18 15 15 9 10 13 11
#Simulacion Variable Aleatoria Exponencial
> sim.exponencial(100,7)
[1] "Datos generados"
[1] 15.4324292 1.2769402 15.4433196 2.1640642 3.8189583 1.5256075 9.1251705 6.6026517
[9] 7.9725288 1.7822154 4.3544797 0.1876629 7.9384326 5.5563637 17.3626629 4.5010474
[17] 0.8047338 1.9163189 2.0870716 4.8703891 5.3728843 0.9691185 13.2630116 2.2297282
[25] 1.2678847 19.7409516 3.5037086 11.5733687 6.1511497 10.7581658 0.5721064 1.5974501
[33] 4.3027675 18.6710193 3.1457651 1.1578702 11.1287757 0.6880114 52.2844298 0.3066399
[41] 0.1721700 8.9232180 0.9650566 8.1402058 3.9502570 4.5482969 0.1992635 0.5191902
[49] 2.2159593 8.3779794 13.8463694 2.7443387 10.5041474 13.0338497 0.5867305 4.8797644
[57] 6.7521178 6.9591053 1.3149369 2.5724079 4.6739811 5.7231091 3.0620808 10.6264473
[65] 2.7166708 7.9099602 0.9176003 3.5792940 3.6920771 0.9274179 4.5079135 3.5476202
[73] 26.0471526 2.7161325 3.0995804 2.1983706 14.7653598 7.5426262 10.5156434 1.2381734
[81] 15.5187006 7.1937368 1.3900071 15.1256305 18.6899617 3.6014590 4.0216523 6.2863216
[89] 17.9072232 0.2829696 2.6308445 6.9573257 3.5342838 1.4393879 3.0780518 15.7667351
[97] 13.7706194 0.3386954 3.5021862 9.6589314
#Simulacion Variable Aleatoria Geometrica
> sim.geometrica(100,0.5)
[1] 1 8 0 9 2 1 1 3 2 0 1 0 1 1 0 1 1 4 0 3 2 2 1 2 2 1 2 3 1 2 2 1 1 8 2 0 3 5 1 0 0 1 1 1 1 0
[47] 1 0 0 0 3 0 2 0 3 2 2 1 4 2 3 0 2 1 3 0 0 0 0 3 2 2 2 3 0 2 0 0 0 2 1 0 1 0 1 2 0 1 4 1 1 1
[93] 5 1 3 1 0 6 0 1
#Simulacion Variable Aleatoria Hipergeometrica
> sim.hipergeometrica(200,100,40,20)
[1] 10 11 7 8 10 8 7 8 11 8 9 10 8 7 8 3 7 5 10 8 9 9 9 7 10 9 11 10 7 8 9
[32] 9 7 8 9 6 5 7 8 10 7 8 10 7 6 6 9 9 10 9 6 7 8 7 10 7 9 7 9 8 6 6
[63] 6 6 10 9 9 7 8 5 7 8 9 10 6 9 8 8 14 7 8 3 10 10 5 8 10 10 11 9 8 7 9
[94] 6 8 6 10 11 9 9 7 9 11 12 11 8 5 13 6 8 7 8 10 12 8 9 9 7 8 10 7 9 8 7
[125] 9 8 7 9 5 6 11 7 7 9 7 7 6 7 8 10 7 8 6 5 10 6 5 6 11 8 8 9 8 3 12
[156] 8 9 5 10 8 9 9 10 8 7 7 9 7 7 11 10 7 5 6 8 10 8 2 8 8 8 10 7 9 11 10
[187] 9 6 10 8 10 9 7 10 6 4 8 8 9 12
#Simulacion Variable Aleatoria Poisson
> sim.poisson(100,5)
[1] 6 7 6 10 8 5 5 3 11 4 3 1 2 6 5 1 5 6 4 6 4 7 6 3 9 5 5 5 8 7 5
[32] 2 7 8 6 3 3 6 5 3 5 5 3 5 5 6 2 3 1 4 5 7 5 2 3 4 5 2 8 4 3 1
[63] 4 6 7 2 5 4 3 4 3 7 12 8 4 6 9 7 3 6 2 5 10 4 9 4 3 6 4 8 6 4 6
[94] 5 9 5 4 4 8 4
#Simulacion Variable Aleatoria Normal via Box Muller
> snormalBM(100)
[1] "valores generados de X"
[1] -0.836680742 -0.057401114 -0.573398843 0.754762023 -0.437261617 -0.332083749 1.108383459
[8] 0.761701086 0.826051646 -0.078175210 -0.004688785 -0.991902188 0.082037217 0.860070269
[15] 0.853915365 1.483900844 -0.954793213 -1.312202719 0.737118418 -0.022660825 -0.644149454
[22] 0.058513309 -0.567826007 -1.005787672 1.181535114 0.965047970 0.636055737 -1.009742526
[29] 0.232625429 0.024014519 -0.092416763 -0.943287560 1.107459240 2.389261797 0.585759384
[36] 1.290600564 -1.775293517 1.188939781 0.930782380 -0.538232601 1.694010767 -0.256229014
[43] 0.539710912 -1.135554615 -1.678045427 0.030367331 -1.213657927 0.495888380 -0.248574755
[50] 0.045724561 1.345151416 2.369391584 0.200173414 0.693455138 0.938490863 -0.184914170
[57] 0.785580907 -0.858951585 -0.013480310 -1.228316278 -1.312838998 -2.039302105 -1.002131898
[64] -1.154906527 -0.276401421 1.130224441 -0.515162322 -0.553489687 0.328757876 -2.009848044
[71] 0.281643788 -0.900026698 0.564469273 1.084654692 -0.381010853 1.922786193 0.146210714
[78] 0.519156987 -0.646458512 -2.045164349 -0.238140910 -2.076021177 1.237339773 0.844925485
[85] -0.336980523 0.226823193 1.769405570 -0.932427870 -0.316653085 -1.771556000 -1.228566173
[92] 0.135906012 0.965531460 -0.663979508 1.826083452 -1.001738140 -0.900956689 1.629632064
[99] -1.174615882 0.096175840
[1] "valores generados de Y"
[1] -0.684181420 0.147229703 -0.741395388 0.432298263 -0.597438415 -0.213200849 -0.204589343
[8] 0.094486457 0.230360746 1.430605941 1.857869827 0.004002011 2.250335311 1.321564671
[15] -1.509705701 -1.391810500 -0.775684069 0.565501343 -0.049484857 -1.715369365 0.090989728
[22] 0.438660643 -1.305793481 2.350202203 0.283278517 -1.089557438 -0.644937928 1.191640643
[29] -0.514930868 -1.166183065 0.372592057 -0.372512301 -2.561631581 0.734849112 0.931334243
[36] -0.803162855 -0.992289133 1.563152982 1.485643403 -1.187867032 0.051498137 0.550909476
[43] -0.675419779 0.015924825 -1.760199776 0.727578348 -0.584647000 -1.181467653 -0.865116668
[50] 2.043304827 -0.994207017 -1.398184680 -1.298812504 0.827355489 0.555169336 0.038656586
[57] 2.094603381 0.100639918 -0.527041421 -1.878429249 -0.424218348 -1.884053392 2.185012587
[64] 0.437357013 0.489122416 -0.027847923 0.434183779 -1.926523219 -0.050705939 0.277681132
[71] -1.191116795 0.137938873 0.427321820 0.795417148 0.346833082 2.017914485 -0.688073429
[78] -1.790153355 0.751542305 1.198578826 -0.437270254 -1.024026502 0.914007532 0.121125566
[85] 1.307367713 -0.358811989 -1.629965345 -0.278873265 -0.443801248 -0.559606429 0.209004167
[92] -0.951212553 -1.397645130 -0.164417876 -1.430280799 -0.635262638 -0.491931625 -1.872534374
[99] -0.741437561 1.014920649
#Simulacion Variable Aleatoria Normal via Coordenadas Polares
> snormalCP(100)
[1] "valores generados de X"
[1] -1.42772745 1.48908537 -1.79767179 -0.35610168 -0.62741256 0.71544673 0.90265955
[8] -0.23938884 -0.28017809 -1.56070046 1.28680721 -1.26686810 0.74903114 -0.80738161
[15] 1.15218668 1.69231644 0.05639165 -0.57343673 -0.69412012 0.50155080 1.12770177
[22] -0.47608132 0.27250207 1.41653828 -1.12170907 -0.70885888 -0.58677575 0.52870682
[29] -0.72115323 1.49166229 -2.37221810 -0.27449933 -0.62082440 -1.85066055 -1.58060592
[36] -0.30481972 0.56015185 0.47632508 1.48649276 -0.37082691 -0.49954040 0.81735501
[43] 0.42878490 -1.09971084 -2.01224979 0.61624008 0.94615523 -0.09969550 -0.16090065
[50] 0.20035323 -0.37553658 1.29156725 0.83667896 2.19127476 -0.63666543 0.45457235
[57] 1.74345008 -1.13782822 -0.65264144 -1.72006628 -1.47404244 0.24198844 -0.24189256
[64] -0.42060676 1.38467143 0.25089719 -0.09394457 -0.46665753 -1.84992812 0.33958232
[71] -0.89938710 -0.80393199 -1.82044848 -1.18087195 1.13053855 0.45551755 -1.37179957
[78] -0.46902107 -1.08142251 1.89717818 1.29049339 -0.67800570 0.95724414 1.26204968
[85] 0.46286607 -0.71596384 0.71850168 -0.12525037 0.18443026 -1.61873804 0.43930073
[92] -1.98640020 0.21291018 2.01944426 1.43737175 -0.72044139 0.39808719 0.09604342
[99] -0.86227487 -0.58899200
[1] "valores generados de Y"
[1] -0.40262267 0.17302153 -0.85653006 0.44881078 0.10450577 -0.06512757 0.15400633
[8] -1.19307820 -1.85184740 0.69121591 0.13433273 -1.03541401 1.49995502 -0.87719119
[15] -1.22608479 -1.04680677 2.32296434 -0.66015318 2.57615133 1.23946927 1.14960237
[22] -0.28714177 -0.87278095 -0.14885293 -0.30134326 -1.90010766 -0.62253419 1.94309294
[29] -0.32898525 0.42185549 0.29046902 -0.27828834 0.54431764 -0.01988942 0.02685056
[36] 0.98045162 -0.44643650 -0.15878770 -0.63315742 -0.06788602 -0.52114597 -1.17261633
[43] 1.92363908 -0.22384496 -0.48641828 1.05994397 -1.04524715 1.43630599 0.58223555
[50] -0.07546200 0.31589475 0.70515550 0.05843099 1.10169321 -0.16154190 0.86513635
[57] 0.34519389 1.31943656 -1.54056641 -0.86777884 0.31394951 -0.37388777 -1.00003315
[64] -0.98030511 -1.08395038 0.06142717 1.11447805 0.15450985 -0.23843068 0.62013865
[71] 1.83062770 0.84917672 0.71102659 0.86187035 -0.28336571 0.17436825 0.09043334
[78] -1.31371110 0.23511116 -2.44798578 -0.11943985 -1.99362527 -0.06110943 1.55087167
[85] -0.55017294 -0.82821069 1.69195040 0.50343408 0.23723136 -0.07316155 -1.46784185
[92] -0.57299838 1.51780682 0.43787153 -0.33769026 -0.22066275 0.93748799 0.45979068
[99] 1.03553346 -0.8775717
Visualización y Reportería
Ver estas funcionalidades en el manual
Autores
Seomara Palominos (skpalominos@uc.cl)
Leonardo Jofré (lnjofre@uc.cl)
ljofre/epg3308 documentation built on May 27, 2019, 1:45 p.m.
R Package Documentation
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epg3308
Biblioteca de estadistica descriptiva en R
Instalación
# install.packages("devtools")
devtools::install_github("ljofre/epg3308")
Uso de la libreria
Datos de prueba
>library(describeNsimulate)
>data("albahaca")
>head(albahaca)
produccion temp alt n.riegos hum sexo marca cuidado
1 46.44 14.93 590 9 2 0 3 1
2 27.77 13.05 586 5 2 0 2 1
3 47.02 18.86 939 12 1 1 1 1
4 32.38 14.32 833 8 3 1 2 2
5 30.40 13.34 819 7 1 0 1 1
6 27.24 12.95 604 4 3 1 3 1
funciones básicas de estadistica descriptiva
# Coeficiente de Asimetria de Fisher
> asimetria.fisher(albahaca$produccion,'SI')
[1] "Asimetria Negativa"
[1] -0.1934995
#Curtosis
> curtosis(albahaca$produccion,'SI')
[1] "Distribucion Platicurtica"
[1] 2.251493
#Cuartiles *******
> cuartiles(albahaca$produccion)
Cuartiles
Q1 29.26
Q2 38.97
Q3 46.45
#Correlacion de Pearson *********
> corr.pearson(albahaca,"n.riegos","produccion")
[1] 0.7930546
[1] "Asosiacion Lineal Positiva"
#Matriz Correlaciones Pearson
> corr.matrix.pearson(albahaca)
produccion temp alt n.riegos
produccion 1.0000000 0.3567275 -0.3984812 0.7930546
temp 0.3567275 1.0000000 0.1889965 0.2377609
alt -0.3984812 0.1889965 1.0000000 0.1408494
n.riegos 0.7930546 0.2377609 0.1408494 1.0000000
#Matriz Correlaciones Spearman
> corr.matrix.spearman(albahaca)
produccion temp alt n.riegos
produccion 1.0000000 0.8631957 0.8190119 0.8575672
temp 0.8631957 1.0000000 0.8468730 0.7956535
alt 0.8190119 0.8468730 1.0000000 0.7920263
n.riegos 0.8575672 0.7956535 0.7920263 1.0000000
#Covarianza
> covarianza(albahaca$produccion,albahaca$temp)
[1] 10.11587
#Coeficiente Variacion
> coeficiente.variacion(albahaca$produccion)
[1] 0.2882387
#Promedio
> promedio(albahaca$produccion)
[1] 37.5985
#Suma
> suma(albahaca$produccion)
[1] 1503.94
Resumenes Descriptivos
Categoricas
descriptive.categorical(albahaca)
[1] "hum"
hum n proporcion odds error std
1 1 7 0.175 0.2121 0.0601
2 2 15 0.375 0.6000 0.0765
3 3 18 0.450 0.8182 0.0787
[1] "sexo"
sexo n proporcion odds error std
1 0 19 0.475 0.9048 0.079
2 1 21 0.525 1.1053 0.079
[1] "marca"
marca n proporcion odds error std
1 1 12 0.3 0.4286 0.0725
2 2 16 0.4 0.6667 0.0775
3 3 12 0.3 0.4286 0.0725
[1] "cuidado"
cuidado n proporcion odds error std
1 1 20 0.5 1 0.0791
2 2 20 0.5 1 0.0791
Numéricas
> descriptive.continue(albahaca)
n promedio suma std CV asimetria curtosis minimo maximo Q1 Q2
produccion 40 37.598 1503.94 10.837 0.288 -0.193 2.251 12.94 60.31 35.67 39.31
temp 40 16.466 658.64 2.617 0.159 -0.018 1.727 12.07 20.92 18.65 18.20
alt 40 790.375 31615.00 158.639 0.201 -0.185 1.426 502.00 988.00 779.00 974.00
n.riegos 40 7.500 300.00 2.253 0.300 0.131 1.948 4.00 12.00 6.50 9.00
Q3
produccion 35.67
temp 18.65
alt 779.00
n.riegos 6.50
Generación de variables aleatorias
#Simulacion Variable Aleatoria Bernulli
> sim.bernulli(100,0.4)
[1] 0 0 0 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 1 1 1 1 1 0 1 1 1 0 1 1 0 1 0 0 1 1 1 0
[47] 0 0 1 0 1 1 1 1 1 0 1 1 1 0 0 1 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 1 0 0 1
[93] 1 0 0 1 1 1 1 0
[1] "Porcentaje de unos"
[1] 0.45
[1] "Porcentaje de ceros"
[1] 0.55
#Simulacion Variable Aleatoria Binomial
> sim.binomial(100,30,0.4)
[1] 16 16 11 13 14 11 8 13 12 12 13 12 11 11 14 11 10 11 10 9 15 14 10 18 16 18 13 9 10 13 13
[32] 12 14 11 11 13 13 13 10 10 12 16 14 10 9 18 11 11 6 16 13 11 8 7 8 8 16 14 14 11 13 16
[63] 12 11 13 9 14 13 12 15 13 11 12 11 13 11 9 14 11 6 15 7 9 9 13 12 12 11 18 12 13 11 16
[94] 18 15 15 9 10 13 11
#Simulacion Variable Aleatoria Exponencial
> sim.exponencial(100,7)
[1] "Datos generados"
[1] 15.4324292 1.2769402 15.4433196 2.1640642 3.8189583 1.5256075 9.1251705 6.6026517
[9] 7.9725288 1.7822154 4.3544797 0.1876629 7.9384326 5.5563637 17.3626629 4.5010474
[17] 0.8047338 1.9163189 2.0870716 4.8703891 5.3728843 0.9691185 13.2630116 2.2297282
[25] 1.2678847 19.7409516 3.5037086 11.5733687 6.1511497 10.7581658 0.5721064 1.5974501
[33] 4.3027675 18.6710193 3.1457651 1.1578702 11.1287757 0.6880114 52.2844298 0.3066399
[41] 0.1721700 8.9232180 0.9650566 8.1402058 3.9502570 4.5482969 0.1992635 0.5191902
[49] 2.2159593 8.3779794 13.8463694 2.7443387 10.5041474 13.0338497 0.5867305 4.8797644
[57] 6.7521178 6.9591053 1.3149369 2.5724079 4.6739811 5.7231091 3.0620808 10.6264473
[65] 2.7166708 7.9099602 0.9176003 3.5792940 3.6920771 0.9274179 4.5079135 3.5476202
[73] 26.0471526 2.7161325 3.0995804 2.1983706 14.7653598 7.5426262 10.5156434 1.2381734
[81] 15.5187006 7.1937368 1.3900071 15.1256305 18.6899617 3.6014590 4.0216523 6.2863216
[89] 17.9072232 0.2829696 2.6308445 6.9573257 3.5342838 1.4393879 3.0780518 15.7667351
[97] 13.7706194 0.3386954 3.5021862 9.6589314
#Simulacion Variable Aleatoria Geometrica
> sim.geometrica(100,0.5)
[1] 1 8 0 9 2 1 1 3 2 0 1 0 1 1 0 1 1 4 0 3 2 2 1 2 2 1 2 3 1 2 2 1 1 8 2 0 3 5 1 0 0 1 1 1 1 0
[47] 1 0 0 0 3 0 2 0 3 2 2 1 4 2 3 0 2 1 3 0 0 0 0 3 2 2 2 3 0 2 0 0 0 2 1 0 1 0 1 2 0 1 4 1 1 1
[93] 5 1 3 1 0 6 0 1
#Simulacion Variable Aleatoria Hipergeometrica
> sim.hipergeometrica(200,100,40,20)
[1] 10 11 7 8 10 8 7 8 11 8 9 10 8 7 8 3 7 5 10 8 9 9 9 7 10 9 11 10 7 8 9
[32] 9 7 8 9 6 5 7 8 10 7 8 10 7 6 6 9 9 10 9 6 7 8 7 10 7 9 7 9 8 6 6
[63] 6 6 10 9 9 7 8 5 7 8 9 10 6 9 8 8 14 7 8 3 10 10 5 8 10 10 11 9 8 7 9
[94] 6 8 6 10 11 9 9 7 9 11 12 11 8 5 13 6 8 7 8 10 12 8 9 9 7 8 10 7 9 8 7
[125] 9 8 7 9 5 6 11 7 7 9 7 7 6 7 8 10 7 8 6 5 10 6 5 6 11 8 8 9 8 3 12
[156] 8 9 5 10 8 9 9 10 8 7 7 9 7 7 11 10 7 5 6 8 10 8 2 8 8 8 10 7 9 11 10
[187] 9 6 10 8 10 9 7 10 6 4 8 8 9 12
#Simulacion Variable Aleatoria Poisson
> sim.poisson(100,5)
[1] 6 7 6 10 8 5 5 3 11 4 3 1 2 6 5 1 5 6 4 6 4 7 6 3 9 5 5 5 8 7 5
[32] 2 7 8 6 3 3 6 5 3 5 5 3 5 5 6 2 3 1 4 5 7 5 2 3 4 5 2 8 4 3 1
[63] 4 6 7 2 5 4 3 4 3 7 12 8 4 6 9 7 3 6 2 5 10 4 9 4 3 6 4 8 6 4 6
[94] 5 9 5 4 4 8 4
#Simulacion Variable Aleatoria Normal via Box Muller
> snormalBM(100)
[1] "valores generados de X"
[1] -0.836680742 -0.057401114 -0.573398843 0.754762023 -0.437261617 -0.332083749 1.108383459
[8] 0.761701086 0.826051646 -0.078175210 -0.004688785 -0.991902188 0.082037217 0.860070269
[15] 0.853915365 1.483900844 -0.954793213 -1.312202719 0.737118418 -0.022660825 -0.644149454
[22] 0.058513309 -0.567826007 -1.005787672 1.181535114 0.965047970 0.636055737 -1.009742526
[29] 0.232625429 0.024014519 -0.092416763 -0.943287560 1.107459240 2.389261797 0.585759384
[36] 1.290600564 -1.775293517 1.188939781 0.930782380 -0.538232601 1.694010767 -0.256229014
[43] 0.539710912 -1.135554615 -1.678045427 0.030367331 -1.213657927 0.495888380 -0.248574755
[50] 0.045724561 1.345151416 2.369391584 0.200173414 0.693455138 0.938490863 -0.184914170
[57] 0.785580907 -0.858951585 -0.013480310 -1.228316278 -1.312838998 -2.039302105 -1.002131898
[64] -1.154906527 -0.276401421 1.130224441 -0.515162322 -0.553489687 0.328757876 -2.009848044
[71] 0.281643788 -0.900026698 0.564469273 1.084654692 -0.381010853 1.922786193 0.146210714
[78] 0.519156987 -0.646458512 -2.045164349 -0.238140910 -2.076021177 1.237339773 0.844925485
[85] -0.336980523 0.226823193 1.769405570 -0.932427870 -0.316653085 -1.771556000 -1.228566173
[92] 0.135906012 0.965531460 -0.663979508 1.826083452 -1.001738140 -0.900956689 1.629632064
[99] -1.174615882 0.096175840
[1] "valores generados de Y"
[1] -0.684181420 0.147229703 -0.741395388 0.432298263 -0.597438415 -0.213200849 -0.204589343
[8] 0.094486457 0.230360746 1.430605941 1.857869827 0.004002011 2.250335311 1.321564671
[15] -1.509705701 -1.391810500 -0.775684069 0.565501343 -0.049484857 -1.715369365 0.090989728
[22] 0.438660643 -1.305793481 2.350202203 0.283278517 -1.089557438 -0.644937928 1.191640643
[29] -0.514930868 -1.166183065 0.372592057 -0.372512301 -2.561631581 0.734849112 0.931334243
[36] -0.803162855 -0.992289133 1.563152982 1.485643403 -1.187867032 0.051498137 0.550909476
[43] -0.675419779 0.015924825 -1.760199776 0.727578348 -0.584647000 -1.181467653 -0.865116668
[50] 2.043304827 -0.994207017 -1.398184680 -1.298812504 0.827355489 0.555169336 0.038656586
[57] 2.094603381 0.100639918 -0.527041421 -1.878429249 -0.424218348 -1.884053392 2.185012587
[64] 0.437357013 0.489122416 -0.027847923 0.434183779 -1.926523219 -0.050705939 0.277681132
[71] -1.191116795 0.137938873 0.427321820 0.795417148 0.346833082 2.017914485 -0.688073429
[78] -1.790153355 0.751542305 1.198578826 -0.437270254 -1.024026502 0.914007532 0.121125566
[85] 1.307367713 -0.358811989 -1.629965345 -0.278873265 -0.443801248 -0.559606429 0.209004167
[92] -0.951212553 -1.397645130 -0.164417876 -1.430280799 -0.635262638 -0.491931625 -1.872534374
[99] -0.741437561 1.014920649
#Simulacion Variable Aleatoria Normal via Coordenadas Polares
> snormalCP(100)
[1] "valores generados de X"
[1] -1.42772745 1.48908537 -1.79767179 -0.35610168 -0.62741256 0.71544673 0.90265955
[8] -0.23938884 -0.28017809 -1.56070046 1.28680721 -1.26686810 0.74903114 -0.80738161
[15] 1.15218668 1.69231644 0.05639165 -0.57343673 -0.69412012 0.50155080 1.12770177
[22] -0.47608132 0.27250207 1.41653828 -1.12170907 -0.70885888 -0.58677575 0.52870682
[29] -0.72115323 1.49166229 -2.37221810 -0.27449933 -0.62082440 -1.85066055 -1.58060592
[36] -0.30481972 0.56015185 0.47632508 1.48649276 -0.37082691 -0.49954040 0.81735501
[43] 0.42878490 -1.09971084 -2.01224979 0.61624008 0.94615523 -0.09969550 -0.16090065
[50] 0.20035323 -0.37553658 1.29156725 0.83667896 2.19127476 -0.63666543 0.45457235
[57] 1.74345008 -1.13782822 -0.65264144 -1.72006628 -1.47404244 0.24198844 -0.24189256
[64] -0.42060676 1.38467143 0.25089719 -0.09394457 -0.46665753 -1.84992812 0.33958232
[71] -0.89938710 -0.80393199 -1.82044848 -1.18087195 1.13053855 0.45551755 -1.37179957
[78] -0.46902107 -1.08142251 1.89717818 1.29049339 -0.67800570 0.95724414 1.26204968
[85] 0.46286607 -0.71596384 0.71850168 -0.12525037 0.18443026 -1.61873804 0.43930073
[92] -1.98640020 0.21291018 2.01944426 1.43737175 -0.72044139 0.39808719 0.09604342
[99] -0.86227487 -0.58899200
[1] "valores generados de Y"
[1] -0.40262267 0.17302153 -0.85653006 0.44881078 0.10450577 -0.06512757 0.15400633
[8] -1.19307820 -1.85184740 0.69121591 0.13433273 -1.03541401 1.49995502 -0.87719119
[15] -1.22608479 -1.04680677 2.32296434 -0.66015318 2.57615133 1.23946927 1.14960237
[22] -0.28714177 -0.87278095 -0.14885293 -0.30134326 -1.90010766 -0.62253419 1.94309294
[29] -0.32898525 0.42185549 0.29046902 -0.27828834 0.54431764 -0.01988942 0.02685056
[36] 0.98045162 -0.44643650 -0.15878770 -0.63315742 -0.06788602 -0.52114597 -1.17261633
[43] 1.92363908 -0.22384496 -0.48641828 1.05994397 -1.04524715 1.43630599 0.58223555
[50] -0.07546200 0.31589475 0.70515550 0.05843099 1.10169321 -0.16154190 0.86513635
[57] 0.34519389 1.31943656 -1.54056641 -0.86777884 0.31394951 -0.37388777 -1.00003315
[64] -0.98030511 -1.08395038 0.06142717 1.11447805 0.15450985 -0.23843068 0.62013865
[71] 1.83062770 0.84917672 0.71102659 0.86187035 -0.28336571 0.17436825 0.09043334
[78] -1.31371110 0.23511116 -2.44798578 -0.11943985 -1.99362527 -0.06110943 1.55087167
[85] -0.55017294 -0.82821069 1.69195040 0.50343408 0.23723136 -0.07316155 -1.46784185
[92] -0.57299838 1.51780682 0.43787153 -0.33769026 -0.22066275 0.93748799 0.45979068
[99] 1.03553346 -0.8775717
Visualización y Reportería
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Autores
Seomara Palominos (skpalominos@uc.cl)
Leonardo Jofré (lnjofre@uc.cl)
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