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data(attitude) | |
library(cocor) | |
## EQtest at alpha = .05 needs a 90% CI | |
cocor(~ rating + complaints | rating + learning, data = attitude, alternative = "less", | |
null.value = .2, test = "zou2007", conf.level = .9) | |
zou_ci_func = function(conf.level, ...) | |
{ |
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## Get file off OSF | |
tf = tempfile(fileext = ".xlsx") | |
download.file(url = "https://osf.io/846cb/download", destfile = tf) | |
## Create summaries | |
library(tidyverse) | |
readxl::read_xlsx(tf) %>% | |
group_by(STN_NUMBER, DIRECTION) %>% | |
summarise( |
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--- | |
title: "Power and precision" | |
author: "Richard D. Morey" | |
date: "11/06/2020" | |
output: | |
html_document: | |
dev: png | |
self_contained: no | |
editor_options: | |
chunk_output_type: console |
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--- | |
title : "The title" | |
shorttitle : "Title" | |
author: | |
- name : "First Author" | |
affiliation : "1" | |
corresponding : yes # Define only one corresponding author | |
address : "Postal address" | |
email : "[email protected]" |
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desired_precision = .6 | |
N1 = 5 | |
N2 = 6 | |
# Function to compute CDFs of "precisions" (CI widths) | |
SS_func = function(W, n, alpha = .05){ | |
n * (n - 1) * W^2 / (4 * qt(1-alpha/2, n - 1)^2) | |
} |
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# Prior setup | |
prior_concentration = 10 | |
# null | |
p0 = c(0.3, 0.3, 0.4) | |
# fake data, null |
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To.country | Jury | Televoting | |
---|---|---|---|
Netherlands | 231 | 261 | |
Italy | 212 | 253 | |
Russia | 125 | 244 | |
Switzerland | 148 | 212 | |
Norway | 47 | 291 | |
Sweden | 239 | 93 | |
Azerbaijan | 197 | 100 | |
North Macedonia | 237 | 58 | |
Australia | 154 | 131 |
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# This file is to demonstrate the output. | |
# It is not needed. | |
testRmd = "https://gist.githubusercontent.com/richarddmorey/c4dd7d1fba2aa055a6f71286baedac25/raw/c256dd9f1ca0b22dfbce12443e1cb98ed5bb9d86/demo.Rmd" | |
tf = tempfile(fileext = ".Rmd") | |
tf_out = tempfile(fileext = ".html") | |
cat(RCurl::getURL(testRmd), file = tf) | |
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## First install the devtools package if necessary | |
devtools::install_github("richarddmorey/EssexSummerSchoolBayes", subdir = "shiny_demo/flexjags/flexjags") | |
flexjags::run_flexjags() |
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M = 1000 | |
N = round(sort(rpois(M, 10)^1.5, decreasing = TRUE)) + 20 | |
pows = c(.5,.8,.95) | |
setup = expand.grid(N=N, pow = pows) | |
es = mapply(FUN = function(n, power, alpha) power.t.test(n = n, sig.level = alpha, power = power)$delta, | |
n = setup$N, power = setup$pow, MoreArgs = list(alpha = .05)) | |
dim(es) = c(setup$es,length(N), length(pows)) |