Event: Data Analysis with R Statistics
We have grown professionally handling our data analysis
in SPSS. SPSS has one big plus, it is graphical interphase (gui) based as
opposed to R statistics which requires you to write command lines. The future
of Statistical analysis is however in R, it is projected that R will overtake
SAS and SPSS in usage by 2020. And the juice of it is….R statistics is free
apart from being more robust.
R is the language of big data—a statistical programming language that helps describe, mine and test relationships between large amounts of data. Learn how to Model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables.
We will pick you from the bottom, install R in your computer, show you how to use built-in datasets, import your own data into the programme,create charts from bar…pie.hitogram to boxplots. We will also show you how to run frequencies and descriptives, transform variable as well as coding missing data. You will also learn how to analyze subgroups, create charts of association, calculate correlations, create charts and statistics for three or more variables and finish with creation of crosstabs for categorical variables.
The five day training will be enough to get you comfortable with R Statistics.
R is the language of big data—a statistical programming language that helps describe, mine and test relationships between large amounts of data. Learn how to Model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables.
We will pick you from the bottom, install R in your computer, show you how to use built-in datasets, import your own data into the programme,create charts from bar…pie.hitogram to boxplots. We will also show you how to run frequencies and descriptives, transform variable as well as coding missing data. You will also learn how to analyze subgroups, create charts of association, calculate correlations, create charts and statistics for three or more variables and finish with creation of crosstabs for categorical variables.
The five day training will be enough to get you comfortable with R Statistics.
1.
The preliminaries
a.
Installing R on
your computer
b.
Using RStudio
c.
Familiarizing
with the R interface
d.
R packages
e.
The built-in R
datasets
f.
Manual data entry
g.
Importing data
h.
Converting
tabular data to row data
i.
Colours and R
j.
The Colorbrewer
k.
Quiz
l.
Answer
2.
One Variable
Charts
a.
Bar charts for
categorical variables
b.
Pie charts for
categorical variables
c.
Histograms for
quantitative variables
d.
Box plots for
quantitative variables
e.
Overlaying plots
f.
Saving images
g.
Quiz
h.
Answer
3.
One Variable
Statistics
a.
Calculating
frequencies
b.
Calculating
descriptives
c.
Single
proportion: Hypothesis test and confidence interval
d.
Single mean:
Hypothesis test and confidence interval
e.
Single
categorical variable: One sample chi-square test
f.
Examining robust
statistics for univariate analyses
g.
Quiz
h.
Answer
4.
Data modification
a.
Examining
outliers
b.
Transforming
variables
c.
Computing
composite variables
d.
Coding missing
data
e.
Quiz
5.
Working with the Data File
a.
Case selection
b.
Subgroup analysis
c.
Merging files
d.
Quiz
e.
Answer
6.
Charts for
Associations
a.
Bar charts of
group means
b.
Grouped box plots
c.
Scatter plots
d.
Quiz
e.
Answer
7.
Association
statistics
a.
Correlation
b.
Computing a
bivariate regression
c.
Comparing means
with the t-test
d.
Comparing paired
means- Paired t-test
e.
Comparing means
with a one-factor ANOVA
f.
Comparing
proportions
g.
Creating cross
tabs for categorical variables
h.
Computing robust
statistics for bivariate associations
i.
Quiz
j.
Answer
8.
Charts for Three
or More Variables
a.
Clustered bar
charts for means
b.
Scatter plots for
grouped data
c.
Scatter plot
matrices
d.
3D scatter plots
e.
Quiz
f.
Answer
9.
Statistics for Three or More Variables
a.
Multiple
regression
b.
Comparing means
with a two-factor ANOVA
c.
Cluster analysis
d.
Conducting a
principal components/factor analysis
e.
Quiz
f.
Answer
Event: Data Analysis with R Statistics
Venue: Westlands, Nairobi.
Date: 27th Nov - 1st Dec 2017
Duration: 5 Days
Fees: 600$ per delegate Inclusive of Meals, Certificates, 6 Month Post training support. (Group discounts available)RSVP: outreach@opencastlabs-africa.com
Wow, great post.
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