5.3.3 part III - how do SD and SE change as sample size (n) increases?.5.3 Using R to generate fake data to explore the standard error.5.2 Using Google Sheets to generate fake data to explore the standard error. 5.1 The sample standard deviation vs. the standard error of the mean.5 Variability and Uncertainty (Standard Deviations, Standard Errors, Confidence Intervals).Part II: Some Fundamentals of Statistical Modeling.4.3.3 Adding modeled means and error intervals.4.3.1 Unpooled SE bars and confidence intervals.4.1.3 Combining Effects and Modeled mean and CI plots – an Effects and response plot.4.1.2 Pretty good plot component 2: Modeled mean and CI plot.4.1.1 Pretty good plot component 1: Modeled effects plot.4.1 Pretty good plots show the model and the data.3.3.2 Reshaping data – Transpose (turning the columns into rows).3 Data – Reading, Wrangling, and Writing.2.4.1 Create an R Markdown file for this Chapter.2.4 Create an R Studio Project for this textbook.2 Organization – R Projects and R Notebooks.1.6 Figure 2f – Effect of ASK1 on glucose infusion rate.1.5.5 Figure 2e – inference from the model.1.5 Figure 2e – Effect of ASK1 KO on glucose tolerance (summary measure).1.4 Figure 2d – Effect of ASK1 KO on glucose tolerance (whole curve).1.3.8 Figure 2c – inference from the model.1.3.6 Figure 2c – fit the model: m2 (gamma glm).1.3.4 Figure 2c – fit the model: m1 (lm).1.3.2 Figure 2c – check own computation of weight change v imported value.1.3 Figure 2c – Effect of ASK1 KO on final body weight.1.2 figure 2b – effect of ASK1 KO on growth (body weight).1 Analysis for Figure 2 of “ASK1 inhibits browning of white adipose tissue in obesity”.
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