Stat统计课程常用R语言, python和matlab等进行画图和数据统计分析. 统计和金融经济和机器学习等课程密切相关.
6-7: Sensitivity Analysis and Bounds – Solutions April 18, 2024 Sensitivity Analysis Rationale So far in our explorations of observational studies we have considered various methods of accounting for measured confounders W as well as some cases in which we can account for unmeasured confounders U (e.g. if we have measured a suitable instrumental variable). […]
## Loading required package: pacman 6-6 DiD and Synthetic Control April 03, 2024 he ‘rlang’ pac # Install packages if (!require(“pacman”)) install.packages(“pacman”) # We are using a package (augsynth) that is not on CRAN, R packages on CRAN have to pass # some formal tests. Always proceed with caution if a packages is not on
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R Refresher: Notebooks, Notation and Visualization UC Berkeley Social 273M: Computational Social Science, Part B Spring 2021 Learning Objectives 2 Basic R Commands 2 Importing and Manipulating Data 5 A note on data.table vs data.frame and dplyr 9 Generating Random Numbers 9 ggplot 11 R Markdown 14 TheHeader…………………………………………. 14 Basics……………………………………………. 14 Making PDFs using R
6-5 Instrumental Variables – Solutions March 19, 2024 Causal Graph (DAG) Review Let’s briefly review what we know about directed acyclic graphs (DAGs) or causal graphs. In this lab, we will introduce the daggity and ggdag libraries for drawing DAGs in R. Firstly, it is imperative that we keep in mind that DAGs are essentially
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AAT Prototype Features and Mark Scheme You may use any language, libraries/modules or tools to build an Automated Assessment Tool (AAT) prototype, so long as these are agreed upon within your team. Your updated team agreement should include any team-agreed coding-conventions, standards and justification for your choice of language, tools and libraries/modules chosen. Your code
4/20/24, 8:34 PM CrustyDB 1: Page Milestone CrustyDB 1: Page Milestone Due Date: Friday, April 19th, 2024 at 11:59 am (Noon) 0 Points Possible Welcome to CrustyDB! CrustyDB is an academic Rust-based relational database management system built by ChiData at The University of Chicago (https://uchi-db.github.io/chidatasite/) , and it is the work of many contributors. It
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HW6: Dataow Analysis and Optimizations Getting Started To get started, accept the assignment on Github Classroom [https://classroom.github.com/] and clone your team’s repository. Many of the les in this project are taken from the earlier projects. The new les (only) and their uses are listed below. Those marked with are the only ones you should need
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Updates to the assignment, including any corrections and clarifications, will be posted on the course website. Please make sure that you check the course website regularly for updates. 1. Change Log COMP3331/9331 Computer Networks and Applications Assignment for Term 1, 2024 Version 1.0 Due: 11:59am (noon) Thursday, 18 April 2024 (Week 10) Version 1.0 released
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IEOR 156/256: Healthcare Analytics Homework 8 March 11th, Thursday, 11:59pm PST For this homework, we will be using R and RStudio to perform linear and logistic regression. Download R and RStudio at https://posit.co/download/rstudio-desktop/. Download lme4 package with the command install.packages(“lme4”). Update Matrix package using the command install.packages(“Matrix”) if necessary. Problem 1 Generalized Linear Mixed-Effects Model
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Microsoft Word – Assignment1_2024.docx ATHK1001 ANALYTIC THINKING: ASSIGNMENT 1, 2024 Due date: 11:59pm Thursday, March 28th (Week 6). Late penalty of 5% per calendar day applies. Online submission: All submissions are to be made online via the link on the ATHK1001 Canvas website. All submissions must be a single PDF file. Do not submit files
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