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.
Pre-requisetes:
Trainees are expected to have a basic understanding of
statistics.
The 5 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
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
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
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
6.
Charts for
Associations
a.
Bar charts of
group means
b.
Grouped box plots
c.
Scatter plots
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
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
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
The 5 day course
costs 750$ (75,000 KES), Exclusive of a 16% V.A.T, The Cost includes all
training fees, materials, lunch and refreshments as well as certificates and 6
month post training support.
Event
Details
|
Event Date
|
13-08-2018 8:30 am
|
|
Event End Date
|
17-08-2018 4:00 pm
|
|
Cut off date
|
08-08-2018
|
|
Individual Price
|
750$ Per Delegate
|
|
Location
|
OpenCastLabs Training Facilities, Nairobi Kenya
|
How
to register:
To register, send an email to: outreach@opencastlabs-africa.com You can
also visit our website on www.opencastlabs-africa.com
and fill an online application form
and submit to us.
Contact Details:
The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100 , Nairobi, Kenya
Tel: +254 0204409651 Mobile: +254 723870644
Email : outreach@opencastlabs-africa.com
Language
Participants
should be reasonably proficient in English.
Fee Exceptions
All international participants will cater for their, travel expenses,
visa application, insurance,
accommodation and other
personal expenses.
Accommodation
Accommodation
is arranged upon request. For reservations contact us below.
Payment:
Payment should be transferred through
bank 5 days
before commencement of training.
Cancellation policy
- All requests for cancellations must be received in writing.
- Changes will become effective on the date of written confirmation being received.
- The appropriate cancellation charge will apply
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