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\nR programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot\n

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\n\nPublisher:\n\nGlobal Health with Greg Martin\n\n\n
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\nIn this video I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for...\nIn this video I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for beginners really and is filled with graphics, quantitative analysis and some explanations as to how statistics work. If you’re a statistician, into data science or perhaps someone learning bio-stats and thinking about learning to use R for quantitative analysis, then you’ll find this video useful. Importantly, R is free. If you learn R programming you’ll have it for life.\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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14:48
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Grade
Higher Ed
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Subjects
Career & Technical Education
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Media Type
Instructional Videos
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Source:
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\nGlobal Health with Greg Martin\n\n
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Date
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2017
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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life expectancy, south africa, eye color, data, linear, color, data science, statistics, linear regression, public health, data analysis
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Additional Tags

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r programming, r programing, r programming for beginners, bio-stats, quantitative analysis, dplyr, ggplot, ggplot2, t-test, data visualisation, statistical analysis, global health, r tutorial, log transformation, blue eyes, null hypothesis, confidence interval, average extent, pipe operator, data visualization, data set, data frame, statistically significant, gapminder data, apply functions, fact correct, linear model, real difference, pipe, gapminder, free, command, model, variable, package, apply
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Classroom Considerations

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Best For: Explaining a topic
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