Programming LiveLessons Video Training Fundamentals to Advanced | C61E7202D9B52EEE644A86BFD64ED0BEF049F5FF

Programming LiveLessons Video Training Fundamentals to Advanced

Name	R Programming LiveLessons (Video Training) Fundamentals to Advanced	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.7 GB
Total Files	107
Hash	C61E7202D9B52EEE644A86BFD64ED0BEF049F5FF

/01 Getting Started with R/
003 Work in The R environment.mp4	68.2 MB
001 Learning objectives.mp4	5.3 MB
002 Download and install R.mp4	21.4 MB
004 Install and load packages.mp4	27.2 MB
/
000 Introduction to R Programming LiveLessons.mp4	39.3 MB
105 Summary of R Programming LiveLessons.mp4	13.6 MB
Torrent downloaded from www.DNoid.me - Demonoid.txt	0.1 KB
/02 The Basic Building Blocks in R/
005 Learning objectives.mp4	5.1 MB
006 Use R as a calculator.mp4	9.0 MB
007 Work with variables.mp4	8.2 MB
008 Understand the different data types.mp4	17.6 MB
009 Store data in vectors.mp4	33.0 MB
010 Call functions.mp4	7.0 MB
/03 Advanced Data Structures in R/
011 Learning objectives.mp4	4.6 MB
012 Create and access information in data.frames.mp4	28.1 MB
013 Create and access information in lists.mp4	18.8 MB
014 Create and access information in matrices.mp4	14.0 MB
015 Create and access information in arrays.mp4	5.3 MB
/04 Reading Data into R/
016 Learning objectives.mp4	4.5 MB
017 Read a CSV into R.mp4	14.6 MB
018 Understand that Excel is not easily readable into R.mp4	5.4 MB
019 Read from databases.mp4	14.0 MB
020 Read data files from other statistical tools.mp4	2.9 MB
021 Load binary R files.mp4	15.7 MB
022 Load data included with R.mp4	9.4 MB
023 Scrape data from the web.mp4	8.3 MB
/05 Making Statistical Graphs/
024 Learning objectives.mp4	5.4 MB
025 Find the diamonds data.mp4	3.1 MB
026 Make histograms with base graphics.mp4	4.2 MB
027 Make scatterplots with base graphics.mp4	5.5 MB
028 Make boxplots with base graphics.mp4	2.7 MB
029 Get familiar with ggplot2.mp4	4.0 MB
030 Plot histograms and densities with ggplot2.mp4	9.9 MB
031 Make scatterplots with ggplot2.mp4	16.6 MB
032 Make boxplots and violin plots with ggplot2.mp4	15.2 MB
033 Make line plots.mp4	19.3 MB
034 Create small multiples.mp4	16.8 MB
035 Control colors and shapes.mp4	5.1 MB
036 Add themes to graphs.mp4	9.1 MB
/06 Basics of Programming/
037 Learning objectives.mp4	5.1 MB
038 Write the classic GÇ£Hello, World!GÇ¥ example.mp4	4.6 MB
039 Understand the basics of function arguments.mp4	17.9 MB
040 Return a value from a function.mp4	5.0 MB
041 Gain flexibility with do.call.mp4	7.3 MB
042 Use if statements to control program flow.mp4	3.9 MB
043 Stagger if statements with else.mp4	10.5 MB
044 Check multiple statements with switch.mp4	8.4 MB
045 Run checks on entire vectors.mp4	8.2 MB
046 Check compound statements.mp4	8.4 MB
047 Iterate with a for loop.mp4	10.1 MB
048 Iterate with a while loop.mp4	2.9 MB
049 Control loops with break and next.mp4	4.1 MB
/07 Data Munging/
050 Learning objectives.mp4	5.6 MB
051 Repeat an operation on a matrix using apply.mp4	8.6 MB
052 Repeat an operation on a list.mp4	5.3 MB
053 The mapply.mp4	8.9 MB
054 The aggregate function.mp4	14.0 MB
055 The plyr package.mp4	34.8 MB
056 Combine datasets.mp4	10.7 MB
057 Join datasets.mp4	13.4 MB
058 Switch storage paradigms.mp4	11.5 MB
/08 Manipulating Strings/
059 Learning objectives.mp4	3.9 MB
060 Combine strings together.mp4	14.8 MB
061 Extract text.mp4	66.8 MB
/09 Basic Statistics/
062 Learning objectives.mp4	3.9 MB
063 Draw numbers from probability distributions.mp4	46.9 MB
064 Calculate averages, standard deviations and correlations.mp4	38.7 MB
065 Compare samples with t-tests and analysis of variance.mp4	39.5 MB
/10 Linear Models/
066 Learning objectives.mp4	4.9 MB
067 Fit simple linear models.mp4	22.0 MB
068 Explore the data.mp4	47.1 MB
069 Fit multiple regression models.mp4	48.5 MB
070 Fit logistic regression.mp4	28.7 MB
071 Fit Poisson regression.mp4	21.9 MB
072 Analyze survival data.mp4	36.0 MB
073 Assess model quality with residuals.mp4	26.8 MB
074 Compare models.mp4	22.0 MB
075 Judge accuracy using cross-validation.mp4	17.6 MB
076 Estimate uncertainty with the bootstrap.mp4	14.4 MB
077 Choose variables using stepwise selection.mp4	9.4 MB
/11 Other Models/
078 Learning objectives.mp4	5.1 MB
079 Select variables and improve predictions with the elastic net.mp4	40.4 MB
080 Decrease uncertainty with weakly informative priors.mp4	31.4 MB
081 Fit nonlinear least squares.mp4	19.9 MB
082 Splines.mp4	22.7 MB
083 GAMs.mp4	18.8 MB
084 Fit decision trees to make a random forest.mp4	14.9 MB
/12 Time Series/
085 Learning objectives.mp4	4.0 MB
086 Understand ACF and PACF.mp4	23.6 MB
087 Fit and assess ARIMA models.mp4	12.8 MB
088 Use VAR for multivariate time series.mp4	32.3 MB
089 Use GARCH for better volatility modeling.mp4	37.4 MB
/13 Clustering/
090 Learning objectives.mp4	3.9 MB
091 Partition data with K-means.mp4	39.4 MB
092 Robustly cluster, even with categorical data, with PAM.mp4	7.3 MB
093 Perform hierarchical clustering.mp4	22.4 MB
/14 Reports and Slideshows with knitr/
094 Learning objectives.mp4	5.4 MB
095 Understand the basics of LaTeX.mp4	19.1 MB
096 Weave R code into LaTeX using knitr.mp4	21.2 MB
097 Understand the basics of Markdown.mp4	6.7 MB
098 Weave R code into Markdown using knitr.mp4	7.6 MB
099 Use pandoc to convert from Markdown to HTML5 slideshow.mp4	14.7 MB
/15 Package Building/
100 Learning objectives.mp4	4.2 MB
101 Understand the folder structure and files in a package.mp4	20.1 MB
102 Write and document functions.mp4	33.2 MB
103 Check and build a package.mp4	11.4 MB
104 Submit a package to CRAN.mp4	3.1 MB
Total files 107