Reference no: EM132298644
Assignment -
Instructions: Only two questions.
Question 1 -
A. Part1. Choose a BioMart database you might use. Choose a dataset in your selected database in Part1. Part2. Retrieve data using filters (any filter) in your selected dataset.
B. Try different attributes in Part2.
C. Explore the function of getLDS.
D. Generate 5 random numbers from binomial distribution with 10 trials and 0.2 probability.
Question 2 -
Find a r package used for plotting Venn diagram. Provide examples for the following:
- try two-way with internal labels and proportional circle size.
- three-way with internal labels.
- try three-way with internal labels and proportional circle size.
Question 3 -
A. Supervised vs. unsupervised learning. Simple nnet vs. deep learning nnet.
B. How to evaluate the models.
Question 4 -
A. Provide examples of using "." as a special character and a literal character.
B. Provide examples of using "\" as a special character and a literal character.
C. Use example to compare "[]" vs "()".
D. Provide examples of using quantifiers (+, *, ?, {num}, {num1, numb2}, {num,}).
E. Provide examples of using character classes ("\D","\w").
Question 5 -
A. Make a summary table for t-test.
For a classic t-test (variances assumed equal)
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t.test(var1, var2, var.equal=T)
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Id variances are assumed unequal use the Welch procedure
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t.test(var1, var2)
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If you have paired data run the paired version
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t.test(var1, var2, paired = T)
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B. Explain error from sample (2, 5).