最新章節

• Index
• Choosing fonts for PostScripts and PDFs
• Choosing font families and styles under Windows Mac OS X and Linux
• Using graph templates
• Adding text descriptions to graphs
• Adding mathematical and scientific notations (typesetting)

• Index 更新時間：2021-08-05 17:31:03
• Choosing fonts for PostScripts and PDFs
• Choosing font families and styles under Windows Mac OS X and Linux
• Using graph templates
• Adding text descriptions to graphs
• Adding mathematical and scientific notations (typesetting)
• Exporting graphs in vector formats – SVG PDF and PS
• Exporting graphs in high-resolution image formats – PNG JPEG BMP and TIFF
• Introduction
• Chapter 15. Finalizing Graphs for Publications and Presentations
• Three-dimensional density plots
• Three-dimensional bar charts
• Three-dimensional scatter plots with a regression plane
• Three-dimensional scatter plots
• Introduction
• Chapter 14. Three-dimensional Visualizations
• Zooming and filtering
• Visualizing mixed data
• Multivariate categorical data visualization
• Multivariate continuous data visualization
• Introduction
• Chapter 13. Inspecting Large Datasets
• Graph annotation with ggplot
• Creating a line chart
• Creating a layered plot with a scatter plot and fitted line
• Creating a box plot
• Visualizing the density of a numeric variable
• Creating a bar chart with error bars
• Creating multiple bar charts
• Creating bar charts
• Introduction
• Chapter 12. Data Visualization Using ggplot2
• Creating a conditional scatter plot
• Creating a boxplot
• Visualizing an empirical Cumulative Distribution Function
• Creating a normal Q-Q plot
• Visualizing distributions through a kernel-density plot
• Creating a conditional histogram
• Creating bar charts to visualize cross-tabulation
• Creating stacked bar charts
• Creating bar charts
• Introduction
• Chapter 11. Data Visualization Using Lattice
• Working with ESRI shapefiles
• Creating and reading KML data
• Plotting data on Google maps
• Creating graphs with regional maps
• Plotting global data by countries on a world map
• Introduction
• Chapter 10. Creating Maps
• Visualizing time series as calendar heat maps
• Creating three-dimensional surface plots
• Creating filled contour plots
• Creating contour plots
• Summarizing multivariate data in a single heat map
• Creating correlation heat maps
• Creating heat maps of a single Z variable with a scale
• Introduction
• Chapter 9. Creating Heat Maps and Contour Plots
• Splitting a variable at arbitrary values into subsets
• Showing the number of observations
• Adjusting the extent of plot whiskers outside the box
• Changing the box styling
• Creating horizontal box plots
• Including or excluding outliers
• Creating box plots with notches
• Varying box widths by the number of observations
• Grouping over a variable
• Creating box plots with narrow boxes for a small number of variables
• Introduction
• Chapter 8. Box and Whisker Plots
• Histograms in the margins of line and scatter plots
• Multiple histograms along the diagonal of a pairs plot
• Overlaying a density line over a histogram
• Adjusting histogram styles – bar colors borders and axes
• Setting the bin size and the number of breaks
• Visualizing distributions as count frequencies or probability densities
• Introduction
• Chapter 7. Creating Histograms
• Adding a legend to a pie chart
• Labeling a pie chart with percentage values for each slice
• Making better readable pie charts with clockwise-ordered slices
• Modifying dot charts by grouping variables
• Creating bar charts with vertical error bars
• Placing labels inside bars
• Displaying values on top of or next to the bars
• Adjusting bar widths spacing colors and borders
• Adjusting the orientation of bars – horizontal and vertical
• Creating stacked bar charts
• Creating bar charts with more than one factor variable
• Introduction
• Chapter 6. Creating Bar Dot and Pie Charts
• Creating stock charts
• Plotting data with varying time-averaging periods
• Adding vertical markers to indicate specific time events
• Annotating axis labels in different human-readable time formats
• Plotting the date or time variable on the x axis
• Formatting time series data for plotting
• Plotting functions of a variable in a dataset
• Creating sparklines
• Adding marker lines at specific x and y values using abline
• Adding horizontal and vertical grid lines
• Using margin labels instead of legends for multiple-line graphs
• Adding customized legends for multiple-line graphs
• Introduction
• Chapter 5. Creating Line Graphs and Time Series Charts
• Creating scatter plots with a smoothed density representation
• Displaying the data density on axes
• Creating Quantile-Quantile plots
• Creating three-dimensional scatter plots
• Adding nonparametric model curves with lowess
• Adding nonlinear model curves
• Adding linear model lines
• Using jitter to distinguish closely packed data points
• Adding error bars
• Correlation matrix using pairs plots
• Labeling data points
• Highlighting grouped data points by size and symbol type
• Grouping data points within a scatter plot
• Introduction
• Chapter 4. Creating Scatter Plots
• Setting graph margins and dimensions
• Formatting log axes
• Adjusting axis annotations and tick marks
• Choosing box styles
• Choosing line styles and width
• Choosing plotting point symbol styles and sizes
• Setting fonts for annotations and titles
• Choosing color combinations and palettes
• Setting colors for text elements – axis annotations labels plot titles and legends
• Setting plot background colors
• Setting colors of points lines and bars
• Introduction
• Chapter 3. Beyond the Basics – Adjusting Key Parameters
• Saving and exporting graphs
• Creating graphs with maps
• Adding and formatting legends
• Creating multiple plot matrix layouts
• Creating pairs plots
• Creating heat maps
• Adjusting x and y axes' limits
• Creating box plots
• Creating histograms and density plots
• Creating bar charts
• Creating line graphs
• Creating basic scatter plots
• Introduction
• Chapter 2. Basic Graph Functions
• Graphs inspired by Grammar of Graphics
• Trellis graphs using lattice
• Base graphics using the default package
• Chapter 1. R Graphics
• Customer support
• Reader feedback
• Conventions
• Who this book is for
• What you need for this book
• What this book covers
• Preface
• Support files eBooks discount offers and more
• www.PacktPub.com
• About the Reviewers
• About the Authors
• Credits
• 版權頁
• 封面

• 封面
• 版權頁
• Credits
• About the Authors
• About the Reviewers
• www.PacktPub.com
• Support files eBooks discount offers and more
• Preface
• What this book covers
• What you need for this book
• Who this book is for
• Conventions
• Reader feedback
• Customer support
• Chapter 1. R Graphics
• Base graphics using the default package
• Trellis graphs using lattice
• Graphs inspired by Grammar of Graphics
• Chapter 2. Basic Graph Functions
• Introduction
• Creating basic scatter plots
• Creating line graphs
• Creating bar charts
• Creating histograms and density plots
• Creating box plots
• Adjusting x and y axes' limits
• Creating heat maps
• Creating pairs plots
• Creating multiple plot matrix layouts
• Adding and formatting legends
• Creating graphs with maps
• Saving and exporting graphs
• Chapter 3. Beyond the Basics – Adjusting Key Parameters
• Introduction
• Setting colors of points lines and bars
• Setting plot background colors
• Setting colors for text elements – axis annotations labels plot titles and legends
• Choosing color combinations and palettes
• Setting fonts for annotations and titles
• Choosing plotting point symbol styles and sizes
• Choosing line styles and width
• Choosing box styles
• Adjusting axis annotations and tick marks
• Formatting log axes
• Setting graph margins and dimensions
• Chapter 4. Creating Scatter Plots
• Introduction
• Grouping data points within a scatter plot
• Highlighting grouped data points by size and symbol type
• Labeling data points
• Correlation matrix using pairs plots
• Adding error bars
• Using jitter to distinguish closely packed data points
• Adding linear model lines
• Adding nonlinear model curves
• Adding nonparametric model curves with lowess
• Creating three-dimensional scatter plots
• Creating Quantile-Quantile plots
• Displaying the data density on axes
• Creating scatter plots with a smoothed density representation
• Chapter 5. Creating Line Graphs and Time Series Charts
• Introduction
• Adding customized legends for multiple-line graphs
• Using margin labels instead of legends for multiple-line graphs
• Adding horizontal and vertical grid lines
• Adding marker lines at specific x and y values using abline
• Creating sparklines
• Plotting functions of a variable in a dataset
• Formatting time series data for plotting
• Plotting the date or time variable on the x axis
• Annotating axis labels in different human-readable time formats
• Adding vertical markers to indicate specific time events
• Plotting data with varying time-averaging periods
• Creating stock charts
• Chapter 6. Creating Bar Dot and Pie Charts
• Introduction
• Creating bar charts with more than one factor variable
• Creating stacked bar charts
• Adjusting the orientation of bars – horizontal and vertical
• Adjusting bar widths spacing colors and borders
• Displaying values on top of or next to the bars
• Placing labels inside bars
• Creating bar charts with vertical error bars
• Modifying dot charts by grouping variables
• Making better readable pie charts with clockwise-ordered slices
• Labeling a pie chart with percentage values for each slice
• Adding a legend to a pie chart
• Chapter 7. Creating Histograms
• Introduction
• Visualizing distributions as count frequencies or probability densities
• Setting the bin size and the number of breaks
• Adjusting histogram styles – bar colors borders and axes
• Overlaying a density line over a histogram
• Multiple histograms along the diagonal of a pairs plot
• Histograms in the margins of line and scatter plots
• Chapter 8. Box and Whisker Plots
• Introduction
• Creating box plots with narrow boxes for a small number of variables
• Grouping over a variable
• Varying box widths by the number of observations
• Creating box plots with notches
• Including or excluding outliers
• Creating horizontal box plots
• Changing the box styling
• Adjusting the extent of plot whiskers outside the box
• Showing the number of observations
• Splitting a variable at arbitrary values into subsets
• Chapter 9. Creating Heat Maps and Contour Plots
• Introduction
• Creating heat maps of a single Z variable with a scale
• Creating correlation heat maps
• Summarizing multivariate data in a single heat map
• Creating contour plots
• Creating filled contour plots
• Creating three-dimensional surface plots
• Visualizing time series as calendar heat maps
• Chapter 10. Creating Maps
• Introduction
• Plotting global data by countries on a world map
• Creating graphs with regional maps
• Plotting data on Google maps
• Creating and reading KML data
• Working with ESRI shapefiles
• Chapter 11. Data Visualization Using Lattice
• Introduction
• Creating bar charts
• Creating stacked bar charts
• Creating bar charts to visualize cross-tabulation
• Creating a conditional histogram
• Visualizing distributions through a kernel-density plot
• Creating a normal Q-Q plot
• Visualizing an empirical Cumulative Distribution Function
• Creating a boxplot
• Creating a conditional scatter plot
• Chapter 12. Data Visualization Using ggplot2
• Introduction
• Creating bar charts
• Creating multiple bar charts
• Creating a bar chart with error bars
• Visualizing the density of a numeric variable
• Creating a box plot
• Creating a layered plot with a scatter plot and fitted line
• Creating a line chart
• Graph annotation with ggplot
• Chapter 13. Inspecting Large Datasets
• Introduction
• Multivariate continuous data visualization
• Multivariate categorical data visualization
• Visualizing mixed data
• Zooming and filtering
• Chapter 14. Three-dimensional Visualizations
• Introduction
• Three-dimensional scatter plots
• Three-dimensional scatter plots with a regression plane
• Three-dimensional bar charts
• Three-dimensional density plots
• Chapter 15. Finalizing Graphs for Publications and Presentations
• Introduction
• Exporting graphs in high-resolution image formats – PNG JPEG BMP and TIFF
• Exporting graphs in vector formats – SVG PDF and PS
• Adding mathematical and scientific notations (typesetting)
• Adding text descriptions to graphs
• Using graph templates
• Choosing font families and styles under Windows Mac OS X and Linux
• Choosing fonts for PostScripts and PDFs
• Index 更新時間：2021-08-05 17:31:03