[專題總之]Graphics using R

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• 【2012年Wiley】Guidebook to R Graphics Using Microsoft Windows
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• [下载]Data Analysis and Graphics Using R: An Example-based Approach (2006, 2nd)
• [下载]S-PLUS 8 Guide to Graphics [PDF - 4.5MB]
• [下载]Interactive and Dynamic Graphics for Data Analysis, With R and GGobi
• [2008礼包6] Interactive and Dynamic Graphics for Data Analysis：With R and GGobi 免费
• Using R for Data Analysis and Graphics An Introduction
• [下载](R系列教程)R Graphics
  

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关键词：Graphics GRAPHIC GRAPH Using GRAP Complex 经典

1. 5.1. Making a Basic Scatter Plot
   
2. Problem
   
3. You want to make a scatter plot.
   
4. Solution
   
5. Use geom_point(), and map one variable to x and one to y.
   
6. In the heightweight data set, there are a number of columns, but we’ll only use two in
   
7. this example (Figure 5-1):
   
8. library(gcookbook) # For the data set
   
9. # List the two columns we'll use
   
10. heightweight[, c("ageYear", "heightIn")]

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1. 5.2. Grouping Data Points by a Variable Using
   
2. Shape or Color
   
3. Problem
   
4. You want to group points by some variable, using shape or color.
   
5. Solution
   
6. Map the grouping variable to shape or colour. In the heightweight data set, there are
   
7. many columns, but we’ll only use three of them in this example:
   
8. library(gcookbook) # For the data set
   
9. # Show the three columns we'll use
   
10. heightweight[, c("sex", "ageYear", "heightIn")]

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1. 5.2. Grouping Data Points by a Variable Using Shape or Color
   
2. Problem
   
3. You want to group points by some variable, using shape or color.
   
4. Solution
   
5. Map the grouping variable to shape or colour. In the heightweight data set, there are
   
6. many columns, but we’ll only use three of them in this example:
   
7. library(gcookbook) # For the data set
   
8. # Show the three columns we'll use
   
9. heightweight[, c("sex", "ageYear", "heightIn")]

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1. 5.4. Mapping a Continuous Variable to Color or Size
   
2. Problem
   
3. You want to represent a third continuous variable using color or size.
   
4. Solution
   
5. Map the continuous variable to size or colour. In the heightweight data set, there are
   
6. many columns, but we’ll only use four of them in this example:
   
7. library(gcookbook) # For the data set
   
8. # List the four columns we'll use
   
9. heightweight[, c("sex", "ageYear", "heightIn", "weightLb")]

复制代码