文章分类 -  R

R语言技术学习交流
摘要:We all have words we love to use, and that we perhaps use too much. As an example: I have a tendency to use the same transitional statements, to the p 阅读全文
posted @ 2018-08-22 10:28 payton数据之旅 阅读(177) 评论(0) 推荐(0)
摘要:You want to understand how your customers make decisions efficiently. Today, customers more so than ever undergo an incredibly complex decision making 阅读全文
posted @ 2018-08-01 10:19 payton数据之旅 阅读(414) 评论(0) 推荐(0)
摘要:We all hate the experience of calling a service provider and being placed on hold for a very long time. Organisations that take their level of service 阅读全文
posted @ 2018-07-20 10:20 payton数据之旅 阅读(279) 评论(0) 推荐(0)
摘要:In this blog post I will discuss missing data imputation and instrumental variables regression. This is based on a short presentation I will give at m 阅读全文
posted @ 2018-07-03 10:01 payton数据之旅 阅读(361) 评论(0) 推荐(0)
摘要:Recently, I attended a presentation where the following graph was shown illustrating the response to stimulation with Thalidomide among a cohort of HI 阅读全文
posted @ 2018-07-03 09:59 payton数据之旅 阅读(257) 评论(0) 推荐(0)
摘要:The larger and more complex the business the more metrics and dimensions. One day you understand that it is impossible to track them with only your ey 阅读全文
posted @ 2018-06-21 11:16 payton数据之旅 阅读(237) 评论(0) 推荐(0)
摘要:A new update of my sjstats-package just arrived at CRAN. This blog post demontrates those functions of the sjstats-package that deal especially with B 阅读全文
posted @ 2018-06-07 12:40 payton数据之旅 阅读(346) 评论(0) 推荐(0)
摘要:Background I am enjoying the magick package at the moment. Reading through the vignette I spotted the image_morph() function. In this post I experimen 阅读全文
posted @ 2018-06-07 10:42 payton数据之旅 阅读(154) 评论(0) 推荐(0)
摘要:Since I migrated my blog from Github Pages to blogdown and Netlify, I wanted to start migrating (most of) my old posts too - and use that opportunity 阅读全文
posted @ 2018-04-24 17:40 payton数据之旅 阅读(244) 评论(0) 推荐(0)
摘要:Time series prediction (forecasting) has experienced dramatic improvements in predictive accuracy as a result of the data science machine learning and 阅读全文
posted @ 2018-04-19 10:32 payton数据之旅 阅读(783) 评论(0) 推荐(0)
摘要:Today I saw this tweet on my timeline: For those of us that just can't wait until RStudio officially supports parallel purrr in #rstats, boy have I go 阅读全文
posted @ 2018-04-16 13:18 payton数据之旅 阅读(286) 评论(0) 推荐(0)
摘要:LightGBM参数列表 建议大家在使用LightGBM前,先仔细阅读参数介绍,毕竟LightGBM还能实现很多有趣的算法如随机森林,dart以及goss,以及众多使用辅助功能。 参数介绍传送门如下: https://github.com/Microsoft/LightGBM/blob/master 阅读全文
posted @ 2018-04-11 14:57 payton数据之旅 阅读(1516) 评论(0) 推荐(0)
摘要:TL;DR: Use the Vectorize() function! If you’re reading this, you’ve either encountered this problem before, or you just got to this article out of cur 阅读全文
posted @ 2018-04-10 09:56 payton数据之旅 阅读(156) 评论(0) 推荐(0)
摘要:In their 2017 book “R for Data Science“, Grolemund and Wickham state that data.table is recommended instead of dplyr when working with larger datasets 阅读全文
posted @ 2018-04-09 11:58 payton数据之旅 阅读(475) 评论(0) 推荐(0)
摘要:At a glance: A negative binomial model isn't adequate for modelling the number of people killed per firearm incident in the USA; the real data has mor 阅读全文
posted @ 2018-04-02 17:36 payton数据之旅 阅读(161) 评论(0) 推荐(0)
摘要:Regression techniques are one of the most popular statistical techniques used for predictive modeling and data mining tasks. On average, analytics pro 阅读全文
posted @ 2018-03-29 14:13 payton数据之旅 阅读(403) 评论(0) 推荐(0)
摘要:Introduction The key to getting better at deep learning (or many fields) is practice. Practice on variety of problems – from image processing to speec 阅读全文
posted @ 2018-03-29 14:11 payton数据之旅 阅读(275) 评论(0) 推荐(0)
摘要:Discriminant analysis is used when the variable to be predicted is categorical in nature. This analysis requires that the way to define data points to 阅读全文
posted @ 2018-03-29 11:18 payton数据之旅 阅读(355) 评论(0) 推荐(0)
摘要:@drsimonj here to help you embark on git repo analyses! Ever wondered who contributes to git repos? How their contributions have changed over time? Wh 阅读全文
posted @ 2018-03-27 09:56 payton数据之旅 阅读(199) 评论(0) 推荐(0)
摘要:Data that’s been only partially observed I’ve been updating my skills in fitting models to truncated data and was pleased to find that, like so much e 阅读全文
posted @ 2018-03-21 10:39 payton数据之旅 阅读(359) 评论(0) 推荐(0)