Thoughts on implementing TRACE in R
Code doesn’t lie.
Code doesn’t lie.
Useful Github page alert: Dean Attali has started collecting links to RStudio addins, including the one I made for wrapping text in RMarkdown.
Code doesn’t lie.
Lists are trees
No, not the cha-ching kind of machine
Randomly sampling subsets of data
But mostly how contrast matrices are computed
Weighted wiggles and smoothed categories
What looks plausible, what fits, what does both
Creating a diagram to illustrate information borrowing (partial pooling)
This time in LaTeX
There are a lot of bilabial sounds in that title
Modeling left-handedness in Stan
Summarizing many, many lines of fit
Trial by 🔥
It’s getting faster. Moving faster now. It’s getting out of hand
The ggplot2 version of multiplying by 1
Who, what, where, when and which
But mostly how contrast matrices are computed
Weighted wiggles and smoothed categories
What looks plausible, what fits, what does both
Creating a diagram to illustrate information borrowing (partial pooling)
Posterior predictive values and the like.
What went wrong?
Randomly sampling subsets of data
Making a graph, connecting nodes twice
Because the functions expect a list of expressions.
Bottling up magic spells
Plus some growth curve analysis!
Cool 8-bit music plays over a montage of me editing R code
What went wrong?
Including plotting code as an annotation on a plot
Less Q Q, more pew pew
What looks plausible, what fits, what does both
Creating a diagram to illustrate information borrowing (partial pooling)
It culiminates in a highlighted math equation.
\/\/\////\/\/\/\////\/\//\/\/\\//\\\/\
It’s getting faster. Moving faster now. It’s getting out of hand
The ggplot2 version of multiplying by 1
Making a graph, connecting nodes twice
Creating an RSS feed for R blog posts.
Now you can have Fairy Floss in quarterly-report.docx
A lesson from debugging source()
Tidying and splitting model summaries for inline reporting
Some basic uses of nonstandard evaluation.
Useful Github page alert: Dean Attali has started collecting links to RStudio addins, including the one I made for wrapping text in RMarkdown.
But mostly how contrast matrices are computed
Weighted wiggles and smoothed categories
Less Q Q, more pew pew
It culiminates in a highlighted math equation.
Creating an RSS feed for R blog posts.
Weighted wiggles and smoothed categories
Weighted wiggles and smoothed categories
Tidying and splitting model summaries for inline reporting
What looks plausible, what fits, what does both
Creating a diagram to illustrate information borrowing (partial pooling)
There are a lot of bilabial sounds in that title
Plus some growth curve analysis!
Code doesn’t lie.
It culiminates in a highlighted math equation.
Including plotting code as an annotation on a plot
A lesson from debugging source()
Randomly sampling subsets of data
No, not the cha-ching kind of machine
Bottling up magic spells
Because the functions expect a list of expressions.
Now you can have Fairy Floss in quarterly-report.docx
That pesky ampersand.
Tidying and splitting model summaries for inline reporting
Tidying and splitting model summaries for inline reporting
Who, what, where, when and which
But mostly how contrast matrices are computed
Lists are trees
Cool 8-bit music plays over a montage of me editing R code
What went wrong?
Including plotting code as an annotation on a plot
Now you can have Fairy Floss in quarterly-report.docx
Find a match() in your base R library
A lesson from debugging source()
A simulation study of the mighty Slay the Spire relic
&&
as a stricter &
A crash course on the ands and ors in R
Weighted wiggles and smoothed categories
Tidying and splitting model summaries for inline reporting
Less Q Q, more pew pew
What looks plausible, what fits, what does both
Creating a diagram to illustrate information borrowing (partial pooling)
beep boop the intraclass correlation indicates STRONG interrater reliability
It culiminates in a highlighted math equation.
Randomly sampling subsets of data
\/\/\////\/\/\/\////\/\//\/\/\\//\\\/\
It’s getting faster. Moving faster now. It’s getting out of hand
Wait, what’s wrong with seven ifelse statements?
No, not the cha-ching kind of machine
Making a graph, connecting nodes twice
The ggplot2 version of multiplying by 1
Bottling up magic spells
The tidyverse version of dataframes
There are a lot of bilabial sounds in that title
Plus some growth curve analysis!
Modeling left-handedness in Stan
The coupon collector’s problem
Doing the same thing over and over again
Summarizing many, many lines of fit
Some basic uses of nonstandard evaluation.
That pesky ampersand.
Because the functions expect a list of expressions.
Posterior predictive values and the like.
Code doesn’t lie.
No, not the cha-ching kind of machine
Including plotting code as an annotation on a plot
No, not the cha-ching kind of machine
Bottling up magic spells
Now you can have Fairy Floss in quarterly-report.docx
There are a lot of bilabial sounds in that title
Summarizing many, many lines of fit
Trial by 🔥
Some basic uses of nonstandard evaluation.
beep boop the intraclass correlation indicates STRONG interrater reliability
A simulation study of the mighty Slay the Spire relic
Now you can have Fairy Floss in quarterly-report.docx
Weighted wiggles and smoothed categories
Wait, what’s wrong with seven ifelse statements?
Because the functions expect a list of expressions.
Who, what, where, when and which
Weighted wiggles and smoothed categories
Modeling left-handedness in Stan
That pesky ampersand.
Now you can have Fairy Floss in quarterly-report.docx
What looks plausible, what fits, what does both
Creating a diagram to illustrate information borrowing (partial pooling)
Code doesn’t lie.
Making a graph, connecting nodes twice