Mercurial > repos > xuebing > sharplabtool
comparison tools/regVariation/t_test_two_samples.pl @ 0:9071e359b9a3
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author | xuebing |
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date | Fri, 09 Mar 2012 19:37:19 -0500 |
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comparison
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-1:000000000000 | 0:9071e359b9a3 |
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1 # A program to implement the non-pooled t-test for two samples where the alternative hypothesis is two-sided or one-sided. | |
2 # The first input file is a TABULAR format file representing the first sample and consisting of one column only. | |
3 # The second input file is a TABULAR format file representing the first sample nd consisting of one column only. | |
4 # The third input is the sidedness of the t-test: either two-sided or, one-sided with m1 less than m2 or, | |
5 # one-sided with m1 greater than m2. | |
6 # The fourth input is the equality status of the standard deviations of both populations | |
7 # The output file is a TXT file representing the result of the two sample t-test. | |
8 | |
9 use strict; | |
10 use warnings; | |
11 | |
12 #variable to handle the motif information | |
13 my $motif; | |
14 my $motifName = ""; | |
15 my $motifNumber = 0; | |
16 my $totalMotifsNumber = 0; | |
17 my @motifNamesArray = (); | |
18 | |
19 # check to make sure having correct files | |
20 my $usage = "usage: non_pooled_t_test_two_samples_galaxy.pl [TABULAR.in] [TABULAR.in] [testSidedness] [standardDeviationEquality] [TXT.out] \n"; | |
21 die $usage unless @ARGV == 5; | |
22 | |
23 #get the input arguments | |
24 my $firstSampleInputFile = $ARGV[0]; | |
25 my $secondSampleInputFile = $ARGV[1]; | |
26 my $testSidedness = $ARGV[2]; | |
27 my $standardDeviationEquality = $ARGV[3]; | |
28 my $outputFile = $ARGV[4]; | |
29 | |
30 #open the input files | |
31 open (INPUT1, "<", $firstSampleInputFile) || die("Could not open file $firstSampleInputFile \n"); | |
32 open (INPUT2, "<", $secondSampleInputFile) || die("Could not open file $secondSampleInputFile \n"); | |
33 open (OUTPUT, ">", $outputFile) || die("Could not open file $outputFile \n"); | |
34 | |
35 | |
36 #variables to store the name of the R script file | |
37 my $r_script; | |
38 | |
39 # R script to implement the two-sample test on the motif frequencies in upstream flanking region | |
40 #construct an R script file and save it in the same directory where the perl file is located | |
41 $r_script = "non_pooled_t_test_two_samples.r"; | |
42 | |
43 open(Rcmd,">", $r_script) or die "Cannot open $r_script \n\n"; | |
44 print Rcmd " | |
45 sampleTable1 <- read.table(\"$firstSampleInputFile\", header=FALSE); | |
46 sample1 <- sampleTable1[, 1]; | |
47 | |
48 sampleTable2 <- read.table(\"$secondSampleInputFile\", header=FALSE); | |
49 sample2 <- sampleTable2[, 1]; | |
50 | |
51 testSideStatus <- \"$testSidedness\"; | |
52 STEqualityStatus <- \"$standardDeviationEquality\"; | |
53 | |
54 #open the output a text file | |
55 sink(file = \"$outputFile\"); | |
56 | |
57 #check if the t-test is two-sided | |
58 if (testSideStatus == \"two-sided\"){ | |
59 | |
60 #check if the standard deviations are equal in both populations | |
61 if (STEqualityStatus == \"equal\"){ | |
62 #two-sample t-test where standard deviations are assumed to be unequal, the test is two-sided | |
63 testResult <- t.test(sample1, sample2, var.equal = TRUE); | |
64 } else{ | |
65 #two-sample t-test where standard deviations are assumed to be unequal, the test is two-sided | |
66 testResult <- t.test(sample1, sample2, var.equal = FALSE); | |
67 } | |
68 } else{ #the t-test is one sided | |
69 | |
70 #check if the t-test is two-sided with m1 < m2 | |
71 if (testSideStatus == \"one-sided:_m1_less_than_m2\"){ | |
72 | |
73 #check if the standard deviations are equal in both populations | |
74 if (STEqualityStatus == \"equal\"){ | |
75 #two-sample t-test where standard deviations are assumed to be unequal, the test is one-sided: Halt: m1 < m2 | |
76 testResult <- t.test(sample1, sample2, var.equal = TRUE, alternative = \"less\"); | |
77 } else{ | |
78 #two-sample t-test where standard deviations are assumed to be unequal, the test is one-sided: Halt: m1 < m2 | |
79 testResult <- t.test(sample1, sample2, var.equal = FALSE, alternative = \"less\"); | |
80 } | |
81 } else{ #the t-test is one-sided with m1 > m2 | |
82 #check if the standard deviations are equal in both populations | |
83 if (STEqualityStatus == \"equal\"){ | |
84 #two-sample t-test where standard deviations are assumed to be unequal, the test is one-sided: Halt: m1 < m2 | |
85 testResult <- t.test(sample1, sample2, var.equal = TRUE, alternative = \"greater\"); | |
86 } else{ | |
87 #two-sample t-test where standard deviations are assumed to be unequal, the test is one-sided: Halt: m1 < m2 | |
88 testResult <- t.test(sample1, sample2, var.equal = FALSE, alternative = \"greater\"); | |
89 } | |
90 } | |
91 } | |
92 | |
93 #save the output of the t-test into the output text file | |
94 testResult; | |
95 | |
96 #close the output text file | |
97 sink(); | |
98 | |
99 #eof" . "\n"; | |
100 | |
101 close Rcmd; | |
102 | |
103 system("R --no-restore --no-save --no-readline < $r_script > $r_script.out"); | |
104 | |
105 #close the input and output files | |
106 close(OUTPUT); | |
107 close(INPUT2); | |
108 close(INPUT1); | |
109 |