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[DOCX File]Module 3 examples - R code
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To compute this value, we use our dplyr skills: r % summarize (rate = sum (total) / sum (population) * 10^6) %>% pull (rate) To add a line we use the geom_abline function. ggplot2 uses ab in the name to remind us we are supplying the intercept (a) and slope (b). The default line has slope 1 and intercept 0 so we only have to define ...
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[DOCX File]pages.pomona.edu
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Conduct exploratory analyses using dplyr verbs (group_by and summarize). Required Reading: R for Data Science: 7) Exploratory analysis. Homework: Assignment 3. Lecture 11: Case study. Learning Objectives: Pull together skills learned through this point . Produce a …
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A Grammar of Data Manipulation • dplyr
In this chapter dplyr is introduced. We will be using dplyr all year. The main idea of data wrangling with dplyr are the 5 verbs. select() # take a subset of columns. filter() # take a subset of rows. mutate() # add or modify existing columns. arrange() # sort the rows. summarize() # aggregate the data across rows. The dplyr package is part of ...
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[DOCX File]Importing data .ps
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Math 154 – Computational Statistics. Fall 2017. Jo Hardin. iClicker Questions. 1. The reason to take random samples is: (a) to make cause and effect conclusions
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[DOCX File]Data Wrangling R - California State University, East Bay
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The following commands are intended to demonstrate the importance of using the sample weight in your analyses. The weighted estimate produces the correct point estimates for the prevalence of hypertension. However, your analysis must account for the complex survey design of NHANES (e.g. stratification and clustering), in order to produce correct standard errors (and confidence intervals ...
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[DOCX File]Data Wrangling R with Answers
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In this chapter dplyr is introduced. We will be using dplyr all year. The main idea of data wrangling with dplyr are the 5 verbs. select() # take a subset of columns. filter() # take a subset of rows. mutate() # add or modify existing columns. arrange() # sort the rows. summarize() # aggregate the data across rows. The dplyr package is part of ...
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Dplyr summarize all