L1 = c(62,50,46,44,43,41,43,45,41,36,41,42,48,51,60,68,71,61,56,55,66,72,65,70,69,59,56,54,59,67,61)
L2 = c(39,40,37,37,37,40,42,47,43,45,44,45,55,46,41,44,48,49,45,40,38,41,41,39,42,42,47,46,43,43,41)
T_med_L1 <- function(x){
suma <- sum(x)
to_datos <- length(x)
t_med <- suma/to_datos
return(t_med)
}
T_med_L1(L1)
## [1] 54.90323
T_med_L2 <- function(x){
suma <- sum(x)
to_datos <- length(x)
t_med <- suma/to_datos
return(t_med)
}
T_med_L2(L2 )
## [1] 42.80645
Menores <- function(x){
a <- x<mean(x)
b <- x[a]
c <- length(b)
return(c)
}
Menores(L1)
## [1] 14
Menores <- function(x){
a <- x<mean(x)
b <- x[a]
c <- length(b)
return(c)
}
Menores(L2)
## [1] 16
x_mayores_y <- function(x,y){
may <- x>y
cual <- x[may]
cuan <- length(cual)
dias <- which(may)
print('Cuantos'); print(cuan); print('Cuales'); print(dias)
}
x_mayores_y(L1,L2)
## [1] "Cuantos"
## [1] 25
## [1] "Cuales"
## [1] 1 2 3 4 5 6 7 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
mx_dif <- function(x,y){
dif <- x-y
mx <- max(dif)
dia <- dif == mx
qdia <- which(dia)
return(qdia)
}
mx_dif(L1, L2)
## [1] 22 24
Dif_3 <- function(x,y){
dif <- x-y
Mayor_3 <- dif >=3
cuales <- which(Mayor_3)
return(Mayor_3)
}
Dif_3 (L1,L2)
## [1] TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [25] TRUE TRUE TRUE TRUE TRUE TRUE TRUE
Fa_a_C <- function(x){
C <- round((x-32)*(5/9))
return(C)
}
Fa_a_C(L1)
## [1] 17 10 8 7 6 5 6 7 5 2 5 6 9 11 16 20 22 16 13 13 19 22 18 21 21
## [26] 15 13 12 15 19 16
Fa_a_C <- function(x){
C <- round((x-32)*(5/9))
return(C)
}
Fa_a_C(L2)
## [1] 4 4 3 3 3 4 6 8 6 7 7 7 13 8 5 7 9 9 7 4 3 5 5 4 6
## [26] 6 8 8 6 6 5
library(lattice)
Días <- c(1:31)
F_C <- round((L1-32)*(5/9))
xyplot(F_C ~ Días,type = "b", xlab = "Días Mes x", ylab = "Tº en ºC", main = "Temperatura Localidad 1")
### Gráfica Tº Localidad 2
library(lattice)
Días <- c(1:31)
F_C <- round((L2-32)*(5/9))
xyplot(F_C ~ Días,type = "b", xlab = "Días Mes x", ylab = "Tº en ºC", main = "Temperatura Localidad 2")
set.seed(1514)
Datos_1 <- rnorm(50, 5.5, 0.5)
options(digits = 2)
cv.n <- function(x){
md <- mean(x)
dev <- sd(x)
n <- dev/md
md_min <- mean(x[-min(x)])
dev_min <- sd(x[-min(x)])
n_min <- dev_min/md_min
md_max <- mean(x[-max(x)])
dev_max <- sd(x[-max(x)])
n_max <- dev_max/md_max
md_min_max <- mean(x[-c(min(x), max(x))])
dev_min_max <- sd(x[-c(min(x), max(x))])
n_min_max <- dev_min_max/md_min_max
qn_1 <- quantile(x, 0.025)
qn_2 <- quantile(x, 0.975)
md_truncado5<-mean(x[x>qn_1 & x<qn_2])
dev_truncado5<-sd(x[x>qn_1 & x<qn_2])
n_truncado5<- dev_truncado5/md_truncado5
Tabla <- data.frame(
"Para" = c('n', 'n-min', 'n-max', 'n-min-max', 'n-truncado5'),
"c.vn" = c(n, n_min, n_max, n_min_max, n_truncado5),
"Media simulada" = c(md, md_min, md_max, md_min_max, md_truncado5),
"Desviación simulada" = c(dev, dev_min, dev_max, dev_min_max, dev_truncado5))
print(Tabla)
}
cv.n(Datos_1)
## Para c.vn Media.simulada Desviación.simulada
## 1 n 0.096 5.5 0.53
## 2 n-min 0.097 5.5 0.53
## 3 n-max 0.097 5.5 0.54
## 4 n-min-max 0.098 5.5 0.54
## 5 n-truncado5 0.083 5.5 0.46
Para h (altura) < 36152 ft \[T = 59 - 0.00356 * h\]
Temperatura <- function(h){
if (h<=15000 & h>=0){
Temp = (59-0.00356*h)
return(Temp)
}
else{
print("Rango exedido")
}
}
Temperatura(h=-10)
## [1] "Rango exedido"
Temperatura(h=0)
## [1] 59
Temperatura(h=100)
## [1] 59
Temperatura(h=200)
## [1] 58
Temperatura(h=300)
## [1] 58
Temperatura(h=400)
## [1] 58
Temperatura(h=500)
## [1] 57
Temperatura(h=1000)
## [1] 55
Temperatura(h=1500)
## [1] 54
Temperatura(h=2000)
## [1] 52
Temperatura(h=3000)
## [1] 48
Temperatura(h=4000)
## [1] 45
Temperatura(h=5000)
## [1] 41
Temperatura(h=6000)
## [1] 38
Temperatura(h=10000)
## [1] 23
Temperatura(h=15000)
## [1] 5.6
Temperatura(h=16000)
## [1] "Rango exedido"