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su-biostatistics

Biostatistics Resources

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Reference Pages
FA18-BIO-273-HYB, Suffolk University.
Why do we need statistics?
FA18-BIO-273-HYB, Suffolk University.
t tests in R
FA18-BIO-273-HYB, Suffolk University.
Simple linear regression in R
FA18-BIO-273-HYB, Suffolk University.
Probability
FA18-BIO-273-HYB, Suffolk University.
Describing samples
FA18-BIO-273-HYB, Suffolk University.
Comparing two means in R
FA18-BIO-273-HYB, Suffolk University.
Chi-Square in R
FA18-BIO-273-HYB, Suffolk University.
Binomial data in R
FA18-BIO-273-HYB, Suffolk University.
ANOVA in R
FA18-BIO-273-HYB, Suffolk University.
The normal distribution in R
FA18-BIO-273-HYB, Suffolk University.
Steps to testing a hypothesis
FA18-BIO-273-HYB, Suffolk University.
What happens when your data fail your test’s assumptions?
FA18-BIO-273-HYB, Suffolk University.
Estimating with uncertainty
FA18-BIO-273-HYB, Suffolk University.
Basics of R Studio
FA18-BIO-273-HYB, Suffolk University.
Creating R Markdown Documents
FA18-BIO-273-HYB, Suffolk University.
Plot styles in R
FA18-BIO-273-HYB, Suffolk University.
geom Plots with ggplot2 Package
FA18-BIO-273-HYB, Suffolk University.
Quick plotting with ggplot2 Package
FA18-BIO-273-HYB, Suffolk University.
Sending meaningful visual messages in R
FA18-BIO-273-HYB, Suffolk University.
Correlation in R
FA18-BIO-273-HYB, Suffolk University.