tests/testthat/test-UnitTests.R

In ankithav/VaradhanAnkithaTools: My basic tools for 3701

context("Function Tests")

test_that("func1 computes mean, var, sd", {
  x <- 1:10
  var1<-function(x){(1/length(x))*sum((x-mean(x))^2)}
  x_list<-list(mean=mean(x),var=var1(x),sd=sqrt(var1(x)))
  expect_identical(func1(x), x_list)
})

test_that("func2 computes mean, var, sd", {
  x <- 1:10
  var1<-function(x){(1/length(x))*sum((x-mean(x))^2)}
  x_list<-list(mean=mean(x),var=var1(x),sd=sqrt(var1(x)))
  expect_identical(func2(x), x_list)
  save<-try(func2(NA),silent=TRUE)
  expect_identical(as.character(attr(save,"condition")),"Error: is.numeric(x) is not TRUE\n")
})

test_that("func3 computes the liklihood of a gamma distribution",{
  norm<- rnorm(10)
  alpha <- pi
  log <- function(alpha)
    sum(dgamma(norm, shape = alpha, log = TRUE))
  interval <- mean(norm) + c(-1,1) * 3 * sd(norm)
  interval <- pmax(mean(norm) / 1e3, interval)

  oout<- optimize(log, maximum = TRUE, interval)
  reslt<- (oout$maximum)

  expect_identical(reslt,func3(norm))
})

test_that("func4 computes the weighted mean, var, sd",{
  d <- read.table(url("http://www.stat.umn.edu/geyer/3701/data/q1p4.txt"),header = TRUE)
    data(d)
    a = sum(d$x * d$p)
    b = sum(((d$x - a)^2) * d$p)
    c = sqrt(b)
    dat<- (list(mean=a,var=b,sd=c))

    expect_identical(dat,func4(d))

})

test_that("func7 computes the liklihood of a given distribution for data x", {
  x1=rgamma(100,3)
  func1 = function(theta, x) dgamma(x, shape = theta, log = TRUE)
  result7_gamma <- func7(x1,func1,c(0,3))
    x=x1
    f7 <- function(theta, x)
    {sum(func1(theta, x))}
    interval=c(0,3)
    oout<- optimize(f7, maximum = TRUE, interval, x=x)
    reslt2<- (oout$maximum)

    expect_identical(reslt2,result7_gamma)
})