种子简介

种子名称： R Tutorials by Mike Marin[YouTube]
文件类型：
文件数目： 46个文件
文件大小： 1.82 GB
收录时间： 2016-1-17 12:06
已经下载： 3次
资源热度： 99
最近下载： 2024-11-13 15:30

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:7A6A9E365755124AE1C0BE104BE7E5627F564A3D&dn=R Tutorials by Mike Marin[YouTube] 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

R Tutorials by Mike Marin[YouTube].torrent

Modifying Plots in R (R Tutorial 2.8).mp4109.19MB

Importing Data and Working With Data in R (R Tutorial 1.4).mp464.69MB

Adding Legends to Plots in R (R Tutorial 2.10).mp463.06MB

Working with Variables and Data in R (R Tutorial 1.5).mp460.54MB

Import Data, Copy Data from Excel to R, Both .csv and .txt Formats (R Tutorial 1.3).mp459.12MB

Adding Text to Plots in R (R Tutorial 2.9).mp456.72MB

Stratified Boxplots in R (R Tutorial 2.2b).mp455.44MB

Dummy Variables or Indicator Variables (R Tutorial 5.5).mp453.26MB

Multiple Linear Regression with Interaction in R (R Tutorial 5.9).mp452.98MB

Checking Linear Regression Assumptions in R (R Tutorial 5.2).mp452.91MB

Relative Risk, Odds Ratio and Risk Difference (aka Attributable Risk) in R (R Tutorial 4.8).mp450.91MB

Correlation and Covariance in R (R Tutorial 4.9).mp449.91MB

Introduction to R Programming Creating Vectors, Matrices, and Other Intro Topics (R Tutorial 1.2).mp448.94MB

Scripts for Reproducible Research in R (R Tutorial 1.9).mp448.81MB

Installing Packages in R (R Tutorial 1.10).mp448.56MB

Summary Statistics in R Mean, Standard Deviation, Frequencies, etc (R Tutorial 2.7).mp448.08MB

Normal Distribution, Z Scores, and Normal Probabilities in R (R Tutorial 3.3).mp446.63MB

Multiple Linear Regression in R (R Tutorial 5.3).mp444.14MB

Setting Up Working Directories in R (R Tutorial 1.8).mp442.95MB

Categorical Variables in Linear Regression in R, Example #2 (R Tutorial 5.8).mp442.78MB

Two-Sample t Test in R Independent Groups (R Tutorial 4.2).mp441.94MB

Categorical Variables or Factors in Linear Regression in R (R Tutorial 5.7).mp440.71MB

Linear Regression in R (R Tutorial 5.1).mp437.06MB

Introduction to R Programming Download, Install and Setup R & RStudio (R Tutorial 1.0).mp436.98MB

Change ReferenceBaseline Category for a Categorical Variable in Regression Model (R Tutorial 5.6).mp435.12MB

Scatterplots in R (R Tutorial 2.6).mp434.67MB

Changing a Numeric Variable to Categorical Variable in R (R Tutorial 5.4).mp434.26MB

Bar Charts and Pie Charts in R (R Tutorial 2.1).mp432.43MB

Interpreting Interaction in Linear Regression (Tutorial 5.10).mp432.37MB

Mann Whitney U aka Wilcoxon Rank-Sum Test in R (R Tutorial 4.3).mp432MB

Introduction to R Programming Getting Started With R (R Tutorial 1.1).mp431.75MB

Analysis of Variance (ANOVA) and Multiple Comparisons in R (R Tutorial 4.6).mp431.31MB

Subsetting Data in R With Square Brackets and Logic Statements (R Tutorial 1.6).mp430.3MB

Logic Statements (TRUEFALSE) and cbind and rbind Command in R (R Tutorial 1.7).mp430.08MB

Binomial Distribution in R (R Tutorial 3.1).mp428.59MB

Poisson Distribution in R (R Tutorial 3.2).mp428.1MB

Customizing The Look of R Studio (R Tutorial 1.11).mp427.73MB

t Distribution and t Scores in R (R Tutorial 3.4).mp426.87MB

Chi-Square Test, Fishers Exact Test, and Cross Tabulations in R (R Tutorial 4.7).mp426.31MB

Histograms in R (R Tutorial 2.3).mp423.62MB

Boxplots and Boxplots With Groups in R (R Tutorial 2.2).mp421.71MB

Wilcoxon Signed Rank Test in R (R Tutorial 4.5).mp421.35MB

Stacked Bar Charts,Clustered Bar Charts and Mosaic Plots in R (R Tutorial 2.5).mp420.89MB

Paired t Test in R (R Tutorial 4.4).mp420.22MB

One-Sample t Test in R (R Tutorial 4.1).mp419.52MB

Stem and Leaf Plots in R (R Tutorial 2.4).mp417.29MB