Sha256: f43b61839e77f60db2734ebb89c2125a4326e128a7d29a3f7f34ba9cfc0af00f
Contents?: true
Size: 1.79 KB
Versions: 13
Compression:
Stored size: 1.79 KB
Contents
require(File.dirname(__FILE__)+'/helpers_tests.rb')
class StatsampleTestTTestCase < MiniTest::Unit::TestCase
include Statsample::Test
include Math
context T do
setup do
@a=[30.02, 29.99, 30.11, 29.97, 30.01, 29.99].to_scale
@b=[29.89, 29.93, 29.72, 29.98, 30.02, 29.98].to_scale
@x1=@a.mean
@x2=@b.mean
@s1=@a.sd
@s2=@b.sd
@n1=@a.n
@n2=@b.n
end
should "calculate correctly t for two samples" do
assert_in_delta(1.959, T.two_sample_independent(@x1, @x2, @s1, @s2, @n1, @n2),0.001)
assert_in_delta(1.959, T.two_sample_independent(@x1, @x2, @s1, @s2, @n1, @n2,true),0.001)
end
should "calculate correctly df for equal and unequal variance" do
assert_equal(10, T.df_equal_variance(@n1,@n2))
assert_in_delta(7.03, T.df_not_equal_variance(@s1,@s2,@n1,@n2),0.001)
end
should "calculate all values for T object" do
t=Statsample::Test.t_two_samples_independent(@a,@b)
assert(t.summary.size>0)
assert_in_delta(1.959, t.t_equal_variance,0.001)
assert_in_delta(1.959, t.t_not_equal_variance,0.001)
assert_in_delta(10, t.df_equal_variance,0.001)
assert_in_delta(7.03, t.df_not_equal_variance,0.001)
assert_in_delta(0.07856, t.probability_equal_variance,0.001)
assert_in_delta(0.09095, t.probability_not_equal_variance,0.001)
end
should "be the same using shorthand" do
v=100.times.map {rand(100)}.to_scale
assert_equal(Statsample::Test.t_one_sample(v).t, T::OneSample.new(v).t)
end
should "calculate all values for one sample T test" do
u=@a.mean+(1-rand*2)
tos=T::OneSample.new(@a,{:u=>u})
assert_equal((@a.mean-u).quo(@a.sd.quo(sqrt(@a.n))), tos.t)
assert_equal(@a.n-1, tos.df)
assert(tos.summary.size>0)
end
end
end
Version data entries
13 entries across 13 versions & 1 rubygems