histogram ggplot2

After Geom settings and scale settings, to make the picture beautiful, the theme setting is not less thanElement_text () is an important piece of content in the theme settingsElement_text(Family =Null, Face =Null, Colour =Null, size =Null, Hjust =Null, Vjust =Null, Angle =Null, lineheight =Null)Parameter family represents a font styleThe parameter face represents the font format, the desired value ("plain", "italic", "bold", "Bold.italic")Parameter colour indicates font colorParameter size indi

Ggplot2 scale correlation settings-coordinate transformationThere are several forms of axis conversion in R, including logarithmic conversion, square root conversion, and pre-and post-scale exchange of coordinates.The functions used are:SCALE_X_LOG10 (...) SCALE_Y_LOG10 (...) Scale_x_sqrt (...) Scale_y_sqrt (...) Scale_x_reverse (...) Scale_y_reverse (...) The above functions are actually based on scale_x_continuous (name = Waiver (), breaks = Waiver

can choose X or Y, indicate the extension coordinates, start is coordinates start angle, default actually position is 12 o'clock,The direction represents the direction of the data, 1 is clockwise, and 1 is counterclockwise.Let's look at some specific examples:Library (Ggplot2) P　　The Cartesian coordinate transformation is the same as the normal drawing effect.P+coord_flip ()　　The horizontal and vertical coordinates are interchanged, and a bar chart m

In the process of drawing, sometimes we may need to add some lines, so that the visualization of the graph becomes better, such as some trend lines and so on.Let's take a look at some of the ways the lines are added.Geom_abline (mapping = NULL, data = NULL, ..., slope, intercept, na.rm = FALSE, show.legend = NA) geom_hline (mapping = NULL, data = null, ..., yintercept, na.rm = FALSE, show.legend = NA) geom_vline (mapping = NULL, data = NULL, ..., xintercept, NA . RM = FALSE, show.legend = NA) Th

Introduction We can also handle the axes of the graph, including x, y-axis swapping, setting axis range, tick mark modification and removal, and so on. In order to play the graphics, axis processing proficiency is indispensable. Axis Swap We use the Coord_flip () function to swap the axes. Library (GGPLOT2) Library (Gcookbook) Ggplot (Plantgrowth, AES (X=group, Y=weight)) + Geom_boxplot () Ggplot (Plantgrowth, AES (X=group, Y=weight)) + geom_boxplot (

1. color and shape control Data features can be expressed not only by coordinates, but also by different colors or shapes. Taking the MPG dataset as an example, the variables used include cty (driving distance in the city), hwy (highway driving distance), displ (displacement size), and year (production year) 1 library(ggplot2)2 p We will use a red circle to represent the models produced in 1999, and a blue triangle to represent the displacement in

Plotting Roc curves with Ggplot2 packagesrocplot R language Drawing: Ggplot2 plotting Roc

Ggplot2 Scale Related SettingsScale settings: Mainly used to adjust settings for each layer after Ggplot drawing.1. Related attribute scale settingIncludes Scale_size (), Scale_alpha (), Scale_shape ()As you can see from the name above, these three settings are primarily related to the Ggplot layer properties, including size, transparency, and shape.The main parameters for this setting are listed below:SCALE_XXX (name = Waiver (), breaks = waiver (),

1. There are currently four types of themesTheme_gray (), THEME_BW (), Theme_minimal (), Theme_classic ()2. x-Axis Setting scaleScale_x_continuous (Limits=c (1950,2000), Breaks=seq (1950,2000,5))3. Bar LineGgplot2 () +geom_bar (Aes (Y=x,fill=factor (GROUP.2)), stat="identity", position=' Dodge') +scale_x_continuous (Limits=c (38,50), Breaks=seq (38,50,1)) + geom_line (position= "identity", AES (Y=X))4. Ggplot-pieGgplot (Wm,aes (x="", Fill=type) + Geom_bar (width=1) + coord_polar (theta='y') )

#生成数据, used to demonstrate DAT Drawing a mirrored bar chart with Ggplot2

Data sampleFlanking mean SD CNV03651595510036715101820036915.1102530037015.1102740037215.2103150037315.3103260037515.3103370037715.3103480037815.4103490038015.41037A=read.table ("SDandCNV.txt", header=T) lilbrary ("ggplot2 " 1) layer1=ggplot (A,aes (Flanking,mean)) +geom_point (position=pd,size=3) +geom_errorbar ( AES (YMIN=MEAN-SD,YMAX=MEAN+SD), width=0.1, POSITION=PD) +geom_line (position=PD) Layer2=geom_ Line (Aes (y=CNV)) Layer3=geom_point (Aes

Introduction A line chart is generally used to describe a variable of one-dimensional variables as a continuous variable, which is usually time. In other words, a line chart is best suited to describe changes in time series data. Of course, with the change of discrete variables is also possible, but this discrete variable must be ordered. Draw a line chart A basic line chart is relatively simple, as long as the AES in the Ggplot x,y data and Geom designated as line. If x is a continuous variable

Image processing-similar image recognition (histogram application) and image processing Histogram Algorithm Overview: First, histogram data is collected for the source image and the image to be filtered, and then the respective image histograms are normalized. Calculate the histogram data using the babacache coefficien

1 Grayscale Histogram 1.1 Concepts Gray scale histogram is a function of gray level distribution, and it is the statistic of gray level distribution in image. Grayscale histogram is the number of pixels in a digital image, according to the size of the gray value, the frequency of its occurrence. Gray-scale histogram i

First, histogram equalizationHistogram equalization is an important application of gray-scale transformation, it is widely used in image enhancement processing, it is based on the cumulative distribution function transformation of the histogram correction method, can produce a gray scale distribution with uniform probability density of the image, expand the value dynamic range of the pixel. The gray value o

[Translated from mos] explanation of histogram information and mos Article histogram Information Interpreting histogram InformationSource:Interpreting Histogram Info (Doc ID 72539.1) Applicable:Oracle Database-Enterprise Edition-Version 7.3.0.0 and laterOracle Database-Standard Edition-Version 7.3.0.0 and laterOracle

Graphic histogram equalization and Python implementation, graphic histogram python In the process of understanding the histogram equalization, I have referenced some books and blogs. What is confusing is that the author's understanding of the histogram remains on the surface and does not have a deep understanding of it

In the C programming language (version 2nd), there is an exercise that prints a horizontal or vertical histogram of the number of words, see page 17th. Now suppose we've got a count array of words.The horizontal histogram is simple to print, only two loops are required, and the number of times the outer loop executes is the array length. The inner loop is the size of each element of the array. Here's how:1/

Oracle histogram, Histogram Histogram when the data distribution of a column is uneven, in order to allow CBO to generate the best execution plan, we may need to collect a histogram for the table. The maximum number of buckets in the histogram is 254. It is a very time-consu

Histogram equalization (histogram equalization)The "central idea" of histogram equalization is to change the gray histogram of the original image from a certain gray area in the comparative concentration to the uniform distribution in the whole gray range. Histogram equaliza