How to make it significant
What test can make it significant? Can't remove a sample.
control1 control2 control3 treat1 treat2 treat3
0 0 0 0 5 6
• 1,543 views
•
link
updated
by
Devon Ryan
•
written
by
g744695539 •
•
written
by
g744695539 •
1 answer
meaninglessTest <- function(x) {
return(sum(x[4:6]) - sum(x[1:3]) > 0)
}
That is a meaningless test that will return true that there's a difference. No proper statistical test will be significant for that comparison with only 3 samples. Your goal is also not to show there's a difference, but rather to see if there is one.
• 0 views
•
link
written
by
Devon Ryan
Log in to answer this question.
More posts like this
-
identify DEGs across all conditions and per specific conditions
written by camillab. •
-
Creating multiple phenotype datasets using bootstrap method "Bootstrap-samples-by-column-of-a-data-…
written by salman_96 •
-
how to deal with correlation map with multi repeats for one group
written by dew •
-
Odd DESeq2 results
written by mbk0asis
-
The results (logFC) are not consistence (edgeR packages)
written by solarchan7 •
-
Library complexity downsampling validation and samtools flagstat (ATAC-seq)
written by reskejak •
-
Multiple Conditions Testing in DESeq2 with unequal number of replicates
written by realnewbie •
-
how to automate microarray data analysis
written by raya.girish •
-
Solved (How to create "trait data" file for WGCNA )
written by shalinisonar13 •
-
Creating a matrix for edgeR/limma import
written by Constantine
Data dredging (also data fishing, data snooping, data butchery, and p-hacking) is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives. This is done by performing many statistical tests on the data and only reporting those that come back with significant results.[1]