For quite a while, I’ve been confused by the behavior of theprop.testfunction in R: 1) the p-values always seem to be slightly off, and 2) the confidence intervals never seem to be symmetric around my estimate
Note: The conf.level in the R code is the reverse of the significance level. Here, the significance level is 0.01, or 1%, so the conf.level is 1-0.01 = 0.99, or 99%.Left-Tailed and Two-Tailed TestsThis was an example of a left tailed test, where the alternative hypothesis claimed...
Note − n is number in *each* group. Example 7 Use the code given below to find the sample size for two sample proportion tests − Open Compiler power.prop.test(p1=49/100,p2=51/100,power=0.95,sig.level=0.10) Output If you execute the above given snippet, it generates the follow...
e(error) error code corresponding to e(b) Functions e(sample) marks estimation sample Methods and formulas Proportions are means of indicator variables; see [R] mean. Confidence intervals Confidence intervals for proportions are calculated using a logit transform so that the endpoints lie betw...
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source("https://bioconductor.org/biocLite.R") biocLite("GenomicRanges") biocLite("BSgenome.Hsapiens.UCSC.hg19") The code will run much faster with the Ensembl transcripts file that has pre-loaded sequence context for each transcript. This is on the sanger farm - please get in touch for the ...
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