Plots Zweten

• Plots Zweten In Excel
• Plots Zweten Vs

• Scatter plots
• Histogram and density plots

The function qplot() [in ggplot2] is very similar to the basic plot() function from the R base package. It can be used to create and combine easily different types of plots. However, it remains less flexible than the function ggplot().

This chapter provides a brief introduction to qplot(), which stands for quick plot. Concerning the function ggplot(), many articles are available at the end of this web page for creating and customizing different plots using ggplot().

The data must be a data.frame (columns are variables and rows are observations).

The data set mtcars is used in the examples below:

Plots in Ch can be generated from data arrays or files, and can be displayed on a screen, saved as an image file in different file formats, or output to the stdout stream in a proper image format for display in a Web browser through a Web server. The list of supported file formats can be found here. Plots in Ch can be generated from data arrays or files, and can be displayed on a screen, saved as an image file in different file formats, or output to the stdout stream in a proper image format for display in a Web browser through a Web server. The list of supported file formats can be found here. ZPlot® for Windows is the most powerful and flexible software tool for control of Scribner Associates Inc. And Solartron Analytical frequency response analyzers. The widest variety of experimental techniques are supported for all types of impedance applications.

mtcars : Motor Trend Car Road Tests.

Description: The data comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973 - 74 models).

Format: A data frame with 32 observations on 3 variables.

• [, 1] mpg Miles/(US) gallon
• [, 2] cyl Number of cylinders
• [, 3] wt Weight (lb/1000)

A simplified format of qplot() is :

• x : x values
• y : y values (optional)
• data : data frame to use (optional).
• geom : Character vector specifying geom to use. Defaults to “point” if x and y are specified, and “histogram” if only x is specified.
• xlim, ylim: x and y axis limits

Other arguments including main, xlab, ylab and log can be used also:

Plots Zweten In Excel

• main: Plot title
• xlab, ylab: x and y axis labels
• log: which variables to log transform. Allowed values are “x”, “y” or “xy”

Note that, the stat and position arguments to qplot() have been deprecated since ggplot2 version 2.0.0.

Basic scatter plots

The plot can be created using data from either numeric vectors or a data frame:

Scatter plots with smoothed line

The option smooth is used to add a smoothed line with its standard error:

To draw a regression line, read the following article: ggplot2 scatter plot

Smoothed line by groups

The argument color is used to tell R that we want to color the points by groups:

Change scatter plot colors

Points can be colored according to the values of a continuous or a discrete variable. The argument colour is used.

Plots Zweten Vs

Note that you can also use the following R code to generate the second plot :

Change the shape and the size of points

Like color, the shape and the size of points can be controlled by a continuous or discrete variable.

Scatter plot with texts

The argument label is used to specify the texts to be used for each points:

PlantGrowth data set is used in the following example :

• geom = “boxplot”: draws a box plot
• geom = “dotplot”: draws a dot plot. The supplementary arguments stackdir = “center” and binaxis = “y” are required.
• geom = “violin”: draws a violin plot. The argument trim is set to FALSE

Change the color by groups:

The histogram and density plots are used to display the distribution of data.

Generate some data

The R code below generates some data containing the weights by sex (M for male; F for female):

Density plot

This analysis was performed using R (ver. 3.2.4) and ggplot2 (ver 2.1.0).

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