kar9222 / R_help_vimium.md

Last active June 14, 2021 16:38

Use R help system with Vimium

GIF can't be uploaded. Not sure why. See here if you want...directly on imgur website

I use R help in browser for

Vim keybindings with Vimium, particularly useful for

kar9222 / vim_useful_tricks.md

Last active April 26, 2021 03:19

Vim - Useful tricks

There is always something to learn in Vim 😎

Sharing my personal notes -- Vim's useful tricks I learned from Learn Vim owned by Igor Irianto. Feel free to follow them on Twitter! I can't remember them all so I started making notes weeks ago.

Igor Irianto has also written a great book Gourmet Vim: A Vim Cookbook to Master the Vim Editor

kar9222 / httpgd.md

Last active April 10, 2021 14:50

SVG graphic device in external browser

See {httpgd} -- Asynchronous http server graphics device for R
See Using httpgd in VSCode: A web-based SVG graphics device
VSCode's integration: See WIP/Proof of concept: Integrate httpgd #614
Personally, I prefer using external browser or graphic device for positioning my plot in the center, more flexible layout, etc.

In .Rprofile

# Install ----------------------------------------

kar9222 / pfizer_vaccine_effectiveness_simulation.md

Last active December 31, 2020 03:22

Pfizer's vaccine effectiveness simulation

Just for fun 😄. I saw this post about Pfizer's Vaccine Effectiveness Simulation. So I simply translate the Bayesian model (implemented in Stan) into my favorite Julia library Turing.jl. For details, please read the link.

Very briefly, from Vaccine Effectiveness Simulation

NYT reports a 44 thousand person trial with half of the people going to treatment and half to control. They further report that 162 people developed COVID in the control group and 8 where in the vaccine group. What is the probability that the vaccine is effective and what is the uncertainty in that probability? The Pfizer protocol defines vaccine effectiveness as follows:

kar9222 / custom_{skimr}_summary_stats.md

Last active December 4, 2020 01:55

Custom {skimr} summary stats

Just discovered a nice little custom {skimr} summary stats by rOpenSci. I use it mainly in the R console for quick summary

different summary stats for different classes
distribution (unicode)
head & tail of raw data
easily customizable

Initial draft. Use at your own risk. Feel free to use it at your interactive package, .Rprofile, etc

Name the functions as you like e.g. su stands for summary

kar9222 / linear_model_foundation_of_architecture_of_deep_learning.md

Last active July 24, 2020 04:11

Linear model, the foundation of architecture of deep learning

Related tweets

Codes are avaiable in both Julia and R. No dependency. You simply run it, or play around with it.

Julia
R

Linear model, foundation of architecture of deep learning

kar9222 / i_love_base_R.md

Last active August 2, 2020 22:31

I love base R

I dont use base R for everything. But I use & ❤️ base R

Super high emphasis on stability & backward compatibility
No dependency
Works well with {data.table}
Most importantly, it's the foundation of all packages

Feel free to see image & shared Gist link. You might find some useful ones.

kar9222 / fst_and_data.table.md

Last active December 4, 2020 01:52

{fst} + {data.table}

{data.table} + {fst}

For medium (not big) data with RAM issues, for native R solutions, I often use {fst} + {data.table}. Keys are

load only needed data in RAM
during data wrangling, whenever possible, do NOT shallow/deep copy objects. Use 'reference semantics' e.g. {data.table} to modify in-place

Quote from Lightning fast serialization of data frames using the fst package

For a few years now, solid state disks (SSD’s) have been getting larger in capacity, faster and much cheaper. It’s not uncommon to find a high-performance SSD with speeds of up to multiple GB/s in a medium-end laptop. At the same time, the number of cores per CPU keeps growing. The combination of these two trends are opening up the way for data science to work on large data sets using a very modest computer setup.

kar9222 / my_{colorout}.md

Last active March 31, 2024 02:32

My {colorout}

First of all, thank you jalvesaq for the great package! 🙏🙏

If you'd like to colorize R terminal output you can use {jalvesaq/colorout}

I customize extra color patterns for

base R: class for str
{data.table} : row id, column class

kar9222 / join_update_setkey.md

Last active July 4, 2020 23:39

data.table `join + update-by-reference + setkey`

A basic/naive test

Found gem about join + update-by-reference from Left join using data.table
Saw a tweet reply by Michael chirico about using setkey during join
Combine them together

"I want to do fast & memory efficient joins but I don't want to read the performance benchmark...". You can skip to Keyfindings & Examples sections below.

Kar kar9222