R语言代写代考

统计相关课程非常喜欢R语言, 它有很多统计相关的library, 非常容易使用.

R语言社交网络分析代写: Social Network Analysis HW6

In this homework, we will gain experience with CUG testing, QAP testing, and exponential random graph modeling using the familiar Lord of the Rings 3 network. You will need the LOTR3 network, the invlogit function from the lab, and the mycugtest and myqaptest utilities. These have been packaged in hwk6.zip. Part I: Attribute setup Create a new attribute […]

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R语言统计代写: BTRY/STSCI 4520 Homework 4

######################################################### ############# BTRY/STSCI 4520 ######################## ############# Homework 4 ######################## ############# Due: April 13, 2018 ######################## ######################################################### # Instructions: save this file in the format <NetID>_HW4.R. # Complete each question using code below the question number. # You need only upload this file to CMS. # Note, we assume your working directory contains any files #

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R语言统计代写: BTRY/STSCI 4520 Homework 1

######################################################### ################ BTRY/STSCI 4520 ######################## ################## Homework 1 ########################### ############# Due: Feb 9, 2018 ######################### ######################################################### # Instructions: save this file in the format <NetID>_HW1.R. # Complete each question using code below the question number. # You need only upload this file to CMS. # Note, we assume your working directory contains any files #

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R语言代写

Requirement: The purpose of this final project is to provide a setting in which you can exercise your R Skills to produce analysis of real time data. The analysis will include accessing historical, contextual, or reference data to provide a point of comparison for your analysis. Deliverables for this project Submit the URL for your

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R语言机器学习代写: Assessment 2 Latent Variables and Neural Networks

Assessment 2 Latent Variables and Neural Networks Objectives This assignment consists of three parts (A,B,C), which cover latent variables models and neural networks (Modules 4 and 5). The total marks of this assessment is 100. Part A. Document Clustering In this part, you solve a document clustering problem using unsupervised learning algorithms (i.e., soft and

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R语言代写: BTRY/STSCI 4520 Final Exam

######################################################### #############   BTRY/STSCI 4520  ######################## #############      Final Exam    ######################## ############# Due: May 20, 2018  ######################## ######################################################### # Instructions: save this file in the format <NetID>_Final.R. # Complete each question using code below the question number. # You need only upload this file to CMS. # Note, we assume your working directory

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R语言代写: Assignment Final Project MAS 640 – Time Series Analysis and Forecasting

Assignment Final Project MAS 640 – Time Series Analysis and Forecasting Using data from Zillow – https://www.zillow.com/research/data/ – you will model median sale price (in $) in a city or county assigned to you. You will present your results in the form of a paper created using R Markdown. Your paper should include an introduction

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R语言统计代写: BTRY/STSCI 4520 Homework 5

######################################################### ############# BTRY/STSCI 4520 ######################## ############# Homework 5 ######################## ############# Due: May 4, 2018 ######################## ######################################################### # Instructions: save this file in the format <NetID>_HW5.R. # Complete each question using code below the question number. # You need only upload this file to CMS. # Note, we assume your working directory contains any files #

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