Use the boxplot function to draw a box plot in R language - Code World

Use the boxplot function to draw a box plot in R language

Enterprise 2023-05-06 03:56:31 views: null

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Use the boxplot function to draw a box plot in R language

R language visualizes box plot (box plot), visualizes box plot by group (boxplot by group), and uses the segments function to add mean lines to the box plot (add mean lines)

R language plotly visualization: draw scatter plot matrix (scatter plot matrix), use classification categories to represent the color of data points in scatter plot matrix (scatter plot matrix)

R language uses the ggplot2 package to visualize the box plot: visualize the box plot by group, and use the alpha parameter to customize the transparency of the box plot fill color.

R language visualizes box plot (box plot) and customizes the color of the box plot by setting the col parameter.

R language uses the ggplot2 package to visualize box plots (box plot): visualize box plots by group, and use the color parameter to customize the color of the box plot border.

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R language visualizes the violin plot (violin plot), uses the vioplot function of the vioplot package to visualize the violin plot, and the col parameter customizes the fill color of the overall area of the violin plot.

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The R language uses the cuminc function of the cmprsk package to perform univariate competitive risk analysis, perform a univariate Fine-Gray test, and use the plot function to visualize the survival curve of cumulative competitive risk event rates

R language uses the plot function to visualize scatter plots and the identity function to manually mark data points in the scatter plots.

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R language uses the ggMarginal function of the ggExtra package to add marginal histograms on the top and right of the scatter plot (Marginal Histograms with ggExtra ggMarginal)

R language visualizes the histogram (bar plot), uses the barplot function to visualize the horizontal histogram (bar chart), and sets the horiz parameter to TRUE

R language uses the ggpubr package ggsummarystats function to visualize the grouped boxplot and add the statistical value corresponding to the group under the X-axis label (sample number N, median median, interquartile interval iqr)

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