## [1] "oPERACION X+1"
## [1] 2 4 6 8 10
## [1] "oPERACION Y*2"
## [1] 4 8 12 14 22 24
## [1] "TAMAÑO DEL VECTOR X"
## [1] 5
## [1] "TAMAÑO DEL VECTOR Y"
## [1] 6
## [1] "SUMA VECTORES X+Y"
## Warning in x + y: longitud de objeto mayor no es múltiplo de la longitud de uno
## menor
## [1] 3 7 11 14 20 13
## [1] "FUNCION SUMA"
## [1] 2
## [1] 16
## [1] 3
## [1] "FUNCIONES"
## [1] 4
## [1] 2 6 7 11 12
## [1] 2 6 11 NA NA
## [1] "FUNCIONES"
## [1] 11 12
## [1] "PUNTO 2.2"
## [1] 104972.8 105655.0 106190.8 106216.5 107074.1 107572.9 107843.2 108522.2
## [9] 107735.4 107806.2
## [1] "DIFERENCIA ENTRE DATOS MILLA"
## [1] 424 333 16 533 310 168 422 -489 44
## [1] "DIFERENCIA ENTRE DATOS KM"
## [1] 682.216 535.797 25.744 857.597 498.790 270.312 678.998 -786.801
## [9] 70.796
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 104973 106197 107324 106959 107789 108522
## [1] "PUNTO 2.3"
## [1] "FACTURA ULTIMO AÑO"
## [1] 478
## [1] "PROMEDIO DE PAGO POR MES"
## [1] 39.83333
## [1] "PAGO MINIMO Y MAXIMO"
## [1] "Pago maximo: 49"
## [1] "Pago mimino: 30"
## [1] "PAGO POR MES"
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## mes "Jan" "Feb" "March" "April" "May" "June" "July" "Aug" "Sep" "Oct"
## telefono "47" "32" "40" "36" "49" "31" "49" "30" "49" "35"
## [,11] [,12]
## mes "Nov" "Dic"
## telefono "48" "32"
## mes telefono
## [1,] "Jan" "47"
## [2,] "Feb" "32"
## [3,] "March" "40"
## [4,] "April" "36"
## [5,] "May" "49"
## [6,] "June" "31"
## [7,] "July" "49"
## [8,] "Aug" "30"
## [9,] "Sep" "49"
## [10,] "Oct" "35"
## [11,] "Nov" "48"
## [12,] "Dic" "32"
## [1] "MESES DE PAGO MAYOR A 40"
## [1] 5
## [1] "Valor total del pago anual es: 478"
## [1] "Valor total del precio mayor a 40 es: 242"
## [1] "porcentaje de pagos mayores a 40 es: 50.63"
## [1] "PUNTO 2.4"
## [1] "FUNCION SUMMARY"
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 5.00 15.00 61.00 54.13 87.50 99.00
## [1] "FUNCION FIVENUM"
## [1] 5.0 15.0 61.0 87.5 99.0
## [1] "PUNTO 2.5"
## [1] "100 VALORES DISTRI NORM"
## [1] 1.948496298 -1.591334644 0.960581535 -0.195847680 0.954584455
## [6] 2.071984944 -0.864518358 0.463319856 0.866945691 -0.306744118
## [11] 0.032463314 1.125598686 -1.587084200 1.524768890 1.798799113
## [16] -0.465815945 -0.608471912 1.375350837 -0.369909486 -0.152979785
## [21] 0.952793453 0.394978632 -1.493258950 0.485125080 -2.069501865
## [26] 0.787446500 -0.408318693 0.375055493 -0.721694172 -0.692444563
## [31] 0.225232743 -0.727926727 -0.566926821 -0.492765891 -0.091811635
## [36] 0.220702138 -0.275160390 -0.467822842 -0.247360061 0.706428845
## [41] -1.017979317 0.043904030 -0.387445426 0.356214830 1.267031545
## [46] 1.696815904 0.411815407 -0.278294032 -0.820236780 -0.118588505
## [51] 0.017969681 0.254152351 1.621856716 -0.125170116 -0.891823905
## [56] 0.962361219 -1.404181227 -0.373893298 0.090361789 3.170597473
## [61] 1.096980165 1.665045068 0.572932039 -2.537212834 1.071704834
## [66] 0.188710040 1.746357718 -2.557437968 -0.617973645 0.310803171
## [71] 2.650822447 0.656137597 0.353749785 -1.152689779 2.386257048
## [76] -1.114237054 1.357794609 1.307319452 -0.230877451 -0.719560194
## [81] -0.673892897 0.948470291 0.692988408 -0.291459603 -0.421779344
## [86] 0.925406997 -1.371106038 0.008480894 -0.667648263 1.317483173
## [91] -1.010108213 1.688406986 -0.545261449 0.655233310 1.558625653
## [96] 0.572014714 -0.517532420 -0.396219504 0.516271826 0.304931930
## [1] "HISTOGRAMA"
## [1] "RESUMEN DE LOS DATOS"
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.55744 -0.52446 0.06713 0.17076 0.94955 3.17060
## [1] "PUNTO 2.6"
## [1] "DATOS BINOMIALES"
## [1] 26 29 27 29 26
## [1] "RESUMEN DATOS Norm"
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 26.0 26.0 27.0 27.4 29.0 29.0
## [1] "RESUMEN DATOS Binarios"
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.55744 -0.52446 0.06713 0.17076 0.94955 3.17060
## [1] "PUNTO 2.7"
## [1] 0.4545455
## [1] 1 3 5 9 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.0000 0.0000 0.0000 0.4545 1.0000 3.0000 1
## [1] "DATOS ERRORES"
## [1] "numero medio de errores"
## [1] 0.4545455
## [1] "posicion del error"
## [1] 4
## [1] "valores NA?"
## [1] FALSE
## [1] "logica del error"
## [1] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1] "PUNTO 2.8"
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## estudiante 1 2 3 4 5 6 7 8 9 10
## p1 3 3 3 4 3 4 3 4 4 3
## p2 5 5 2 2 5 2 2 5 5 2
## p3 1 3 1 3 3 3 1 3 1 1
## S1 S2 S3 S4 S5 S6 S7 S8 S9 S10
## estudiante 1 2 3 4 5 6 7 8 9 10
## p1 3 3 3 4 3 4 3 4 4 3
## p2 5 5 2 2 5 2 2 5 5 2
## p3 1 3 1 3 3 3 1 3 1 1
## [1] "PUNTO 2.9"
## [1] "Vector 01"
## [1] 1.08344854 0.51864837 -0.52953043 0.59158276 -1.48196443 0.32047563
## [7] 3.03980600 -0.89602485 -0.48937868 0.34198445 -0.33435163 -0.30666031
## [13] 1.71666395 -1.32059941 -0.37760164 -1.57113194 0.02864573 0.18108382
## [19] -0.50215190 0.11811647 1.44779324 1.37143901 -1.09343385 -0.04814851
## [25] -0.76504420 0.82543992 0.09376888 1.58166838 0.03201672 -1.41634731
## [31] 0.33910776 0.99280944 -1.06157994 1.09699087 1.31221036 -0.65934656
## [37] -0.68699402 1.82629689 0.40306278 1.28686440 -0.60586132 1.35126499
## [43] -0.30808168 -0.85684715 -1.31546832 -0.74194057 0.66238846 -1.89858176
## [49] -0.91449493 -0.54503972
## [1] "NORMALIDAD SHAPIRO-WILK v3"
##
## Shapiro-Wilk normality test
##
## data: v1
## W = 0.97354, p-value = 0.3205
## [1] "Vector 02"
## [1] 1.481212256 0.535470640 -0.205432593 -1.202282227 -0.553648914
## [6] 0.013438383 0.246293739 -0.543181706 0.722871735 -1.017880305
## [11] -0.020809626 -0.868274254 -0.101245893 1.051787906 1.005203093
## [16] -1.085073093 -1.103156612 2.912609851 0.821683898 -2.504598593
## [21] 0.613196669 1.545358063 0.105220089 -0.768375967 -0.346081810
## [26] -0.231003886 -1.013350521 1.849426891 -1.229880536 0.408794320
## [31] 1.428934990 1.061351561 -0.590798432 0.275190430 -1.012076012
## [36] -1.081779241 0.806200901 -0.072442169 1.026210865 0.225366134
## [41] 0.349787138 -1.218587600 -0.593386895 -0.622096833 -0.009474347
## [46] -0.879287841 1.033353825 0.225873792 -1.116409439 1.622605660
## [1] "NORMALIDAD SHAPIRO-WILK v3"
##
## Shapiro-Wilk normality test
##
## data: v2
## W = 0.97425, p-value = 0.3415
## [1] "TESTT-STUDENT 1"
##
## Welch Two Sample t-test
##
## data: v2 and v2
## t = 0, df = 98, p-value = 1
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.4096044 0.4096044
## sample estimates:
## mean of x mean of y
## 0.02753655 0.02753655
## [1] "PUNTO 2.10"
## [1] "Vector 03"
## [1] 1.262954285 -0.326233361 1.329799263 1.272429321 0.414641434
## [6] -1.539950042 -0.928567035 -0.294720447 -0.005767173 2.404653389
## [11] 0.763593461 -0.799009249 -1.147657009 -0.289461574 -0.299215118
## [16] -0.411510833 0.252223448 -0.891921127 0.435683299 -1.237538422
## [21] -0.224267885 0.377395646 0.133336361 0.804189510 -0.057106774
## [26] 0.503607972 1.085769362 -0.690953840 -1.284599354 0.046726172
## [31] -0.235706556 -0.542888255 -0.433310317 -0.649471647 0.726750747
## [36] 1.151911754 0.992160365 -0.429513109 1.238304101 -0.279346282
## [41] 1.757903090 0.560746091 -0.452783973 -0.832043296 -1.166570547
## [46] -1.065590580 -1.563782051 1.156536997 0.832047129 -0.227328691
## [1] "NORMALIDAD SHAPIRO-WILK v3"
##
## Shapiro-Wilk normality test
##
## data: v3
## W = 0.97356, p-value = 0.321
## [1] ""
## [1] "Vector 04"
## [1] 27 26 28 28 22 27 28 29 27 25 27 23 26 28 27 29 30 26 29 27 27 23 27 27 29
## [26] 26 27 27 28 28 27 27 29 30 27 24 27 27 27 23 27 26 27 28 28 26 27 29 26 29
## [1] "NORMALIDAD SHAPIRO-WILK v4"
##
## Shapiro-Wilk normality test
##
## data: v4
## W = 0.88818, p-value = 0.0002001
## [1] "TESTT-STUDENT 2"
##
## Welch Two Sample t-test
##
## data: v3 and v4
## t = -97.28, df = 74.438, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -27.50815 -26.40399
## sample estimates:
## mean of x mean of y
## 0.02393097 26.98000000
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.