Commit e0d14c46 by Holger Brandl

### updated notes

parent 2ce12bb1
 ... @@ -99,7 +99,6 @@ Confidence around proportions ... @@ -99,7 +99,6 @@ Confidence around proportions Formula: Formula: > If the samples size n and population proportion p satisfy the condition that np ≥ 5 and n(1 − p) ≥ 5, than the end points of the interval estimate at (1 − α) confidence level is defined in terms of the sample proportion as follows. > If the samples size n and population proportion p satisfy the condition that np ≥ 5 and n(1 − p) ≥ 5, than the end points of the interval estimate at (1 − α) confidence level is defined in terms of the sample proportion as follows. ![](.example_images/prop_ci.png) CI math is detailed out under http://www.statisticslectures.com/topics/ciproportions/ CI math is detailed out under http://www.statisticslectures.com/topics/ciproportions/ ... ...
 ... @@ -31,7 +31,6 @@ prop.test(x=c(19,15), n=c(34,34), correct=FALSE) ... @@ -31,7 +31,6 @@ prop.test(x=c(19,15), n=c(34,34), correct=FALSE) ## also works for single proportion ## also works for single proportion #prop.test(x=c(19), n=c(34), correct=FALSE) #prop.test(x=c(19), n=c(34), correct=FALSE) #prop.test(x=c(19,15,20), n=c(34,34,34), correct=FALSE) #prop.test(x=c(19,15,20), n=c(34,34,34), correct=FALSE) ``` ``` Also see Also see ... ...
 import java.io.File val kotlin.Boolean.int get() = if (this) 1 else 0 fun main(args: Array) { //val mdFile = File(args[0]) val mdFile = File("/Users/brandl/Dropbox/projects/datautils/R/rnblight/example.md") // //var chunkCounter = 0 //var isInChunk = false //val filtMd = mdFile.readLines().groupBy{ line-> // // if(line.startsWith("```")) { // chunkCounter++ // isInChunk = !isInChunk // } // // chunkCounter //}.filterNot { (_, group) -> // group.filterNot{it.startsWith("```")}.all { it.startsWith("## ") } //} // //File("result.md").writeText( filtMd.flatMap { it.value }.joinToString("\n")) fun List.cumSum(removeNA: Boolean = false): Iterable { return drop(1).fold(listOf(first().toDouble()), { list, curVal -> list + (list.last().toDouble() + curVal.toDouble()) }) } val lines = mdFile.readLines().take(50) lines.map { it.startsWith("```").int } lines.map { it.startsWith("```").int }.windowed(2) { (a, b) -> if (a > b) a else b } lines.map { it.startsWith("```").int }.cumSum().zipWithNext { a, b -> a } }
 import java.io.File //val mdFile = File(args[0]) val mdFile = File("/Users/brandl/Dropbox/projects/datautils/R/rnblight/example.md") // //var chunkCounter = 0 //var isInChunk = false //val filtMd = mdFile.readLines().groupBy{ line-> // // if(line.startsWith("```")) { // chunkCounter++ // isInChunk = !isInChunk // } // // chunkCounter //}.filterNot { (_, group) -> // group.filterNot{it.startsWith("```")}.all { it.startsWith("## ") } //} // //File("result.md").writeText( filtMd.flatMap { it.value }.joinToString("\n")) val Boolean.int get() = if (this) 1 else 0 fun List.cumSum(removeNA: Boolean = false): Iterable { return drop(1).fold(listOf(first().toDouble()), { list, curVal -> list + (list.last().toDouble() + curVal.toDouble()) }) } val lines = mdFile.readLines().take(50) lines.map { it.startsWith("```").int } lines.map { it.startsWith("```").int }.windowed(2){ (a,b) -> if(a>b) a else b} lines.map { it.startsWith("```").int }.cumSum().zipWithNext{ a,b -> a} \ No newline at end of file
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