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angular.module('myApp', ['ionic', 'myApp.services', 'myApp.controllers'])
.run(function(DB) {
    DB.init();
});

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a = b = c = d = e = f = g = h = i = j = pi

save.image(choose.files())

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vet_logical = c(T, T, F, F)
vet_int = 11:14
vet_numeric = c(1.0, 2.0, 3.0, 4.0)
vet_text = letters[1:4]
vet_imaginary = c((1 + 1i), (1 + 1i), (1 + 1i), (1 + 1i))

my_list = list(vet_logico, vet_int, vet_numerico, vet_texto, vet_imaginario)

my_matrix = matrix(seq(from=2, by=2, length.out = 16), nrow = 4)

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# Special Values

na = NA
nan = NaN
infinity = Inf
less_inifinity = -Inf
null = NULL

my_vector = c(na, nan, infinity, less_inifinity, null)

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# Create a sequence
my_seq = seq(from = 1, by = 5, length.out = 30)


# Crete a sequence with the another list size
along = seq_along(my_seq)

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install.packages('lubridate')
library(lubridate)


nextBlackFriday = function(year){
  first_november = ymd(paste(year,"1101"))
  day_of_week = wday(first_november, label = TRUE)
  shift = ifelse(as.numeric(day_of_week) < 6, 0, 7)
  next_friday = first_november + days(6 - as.numeric(day_of_week) + shift)
  

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# Composistion
def f(x):
    return x + 2

def g(h, x):
    return h(x) * 2

print(g(f, 42))

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# Vector operations
a = c(333135, 19890804, 894, 478618, 2112)
b = a * 2
c = b / 3
d = c + a^2
e = sqrt(d)

# Reverse matrix
ai = rev(a)

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# Generates random numbers uniformly
histogram(runif(1:100000))

# Probabily of one numbe given a unifom random numbers
dunif(x= 8, min= 1, max=11)

# Samples
set.seed(1)
amostra = c("T","R","I", "A", "N", "G", "U", "L", "O")
sample(x = amostra, replace = FALSE)

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download = function(f){
  if(!file.exists('data')){
    dir.create('data')
  }

  file.local = file.path('./data', basename(f))
  if(!file.exists(file.local)){
    download.file(url = f, destfile = file.local , mode='wb')
  }