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kid_score | mom_hs | mom_iq | mom_work | mom_age | |
---|---|---|---|---|---|
65 | Completed | 121.118 | 4 | 27 | |
98 | Completed | 89.362 | 4 | 25 | |
85 | Completed | 115.443 | 4 | 27 | |
83 | Completed | 99.45 | 3 | 25 | |
115 | Completed | 92.746 | 4 | 27 | |
98 | Did not complete | 107.902 | 1 | 18 | |
69 | Completed | 138.893 | 4 | 20 | |
106 | Completed | 125.145 | 3 | 23 | |
102 | Completed | 81.62 | 1 | 24 |
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month | temperature | day.of.week | icecreams.sold | |
---|---|---|---|---|
5 | 18.46 | Su | 60 | |
6 | 20.42 | Th | 102 | |
1 | 13.02 | Sa | 62 | |
3 | 17.98 | We | 46 | |
6 | 14.31 | Su | 110 | |
4 | 16.87 | Th | 24 | |
8 | 23.77 | Th | 52 | |
2 | 11.02 | Tu | 26 | |
12 | 14.36 | We | 46 |
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c |
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{ | |
// Mailmate keybindings | |
"\U007F" = "archive:"; // ⌫ | |
"@\U007F" = "deleteMessage:"; // ⌘+⌫ | |
" " = "scrollPageDownOrNextUnreadMessage:"; | |
"@S" = "saveAttachments:"; | |
// Based on: https://mail.google.com/support/bin/answer.py?answer=6594 |
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library(brms) | |
library(tidyverse) | |
m1 <- rstanarm::stan_glm(mpg~wt, data=mtcars) | |
prior_summary(m1) | |
# see what priors brms will let you set | |
get_prior(mpg~wt, data=mtcars) | |
# then then mimic beta priors from rstanarm (inc rstanarm autoscaling) | |
m2 <- brm(mpg~wt, data=mtcars, sample_prior="only", |
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Prior <- c(set_prior("normal(0, 30)", class = "b")) | |
options(mc.cores=parallel::detectCores ()-1) | |
f.interaction <- bf(Pressure ~ Awareness * | |
Agency * | |
Resp.Alt * | |
VisualPrime * |
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--- | |
title: Quantifying uncertainty | |
output: html_document | |
--- | |
```{r} | |
library(tidyverse) | |
``` | |
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--- | |
title: "Untitled" | |
output: html_document | |
--- | |
```{r setup, include=FALSE} | |
knitr::opts_chunk$set(echo = TRUE) | |
``` | |
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wt | .row | .chain | .iteration | estimate | dist | |
---|---|---|---|---|---|---|
1 | 1 | NA | 1 | 35.63558606434021 | posterior | |
1 | 1 | NA | 2 | 28.530141107955775 | posterior | |
1 | 1 | NA | 3 | 29.350245281355008 | posterior | |
1 | 1 | NA | 4 | 29.451646459250988 | posterior | |
1 | 1 | NA | 5 | 29.95125999190543 | posterior | |
1 | 1 | NA | 6 | 29.819994020090522 | posterior | |
1 | 1 | NA | 7 | 36.52057328196404 | posterior | |
1 | 1 | NA | 8 | 35.9813523220044 | posterior | |
1 | 1 | NA | 9 | 35.617712360402834 | posterior |
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sprintcol <- function(x, sig.digits = 3) { | |
rounded <- paste(signif(x, sig.digits)) | |
max.decimal <- | |
str_extract(rounded, "\\.(\\d+)") %>% | |
str_length() %>% | |
max(c(0, .), na.rm = T) - 1 | |
max.decimal <- max(max.decimal, min(abs(max.decimal), 0)) | |
sprintf(fmt = glue::glue("%.{max.decimal}f"), x) | |
} |