Sharon Machlis is Director of Editorial Data & Analytics at Foundry (the IDG, Inc. company that publishes websites including Computerworld and InfoWorld), where she analyzes data, codes in-house tools, and writes about data analysis tools and tips. She holds an Extra class amateur radio licen...
Installing R Packages R Built-in data sets Data Import Export Reshape Manipulate Visualize R Graphics Essentials Easy Publication Ready Plots Network Analysis and Visualization GGplot2 R Base Graphs Lattice Graphs 3D Graphics How to Choose Great Colors? Analyze Statistics Descriptive ...
Example 1: Basic Creation of Line Graph in R If we want to draw a basic line plot in R, we can use theplot functionwith the specification type = “l”. Have a look at the following R code: plot(x, y1, type="l")# Basic line plot in R Figure 1: Basic Line Plot in R. Figu...
Let’s take a look at some R codes in action. Example 1: Adding Superscript to Plot Example 1 shows how to add a superscript (i.e. the power of 2) to a textin a plotin R. For this task, you need to apply the expression function and add the ^ symbol and the value you want ...
Separate the satellites based on the PRN codes. To correlate each position with a group, create a categorical array. For this set of satellites, only the ones with PRNs less than 32 are used in the positioning solution. Get isUnused = (prn > 32); group = categorical(isUnused,[false ...
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tukey’s test The means comparison by Tukey’s test can be run on the object resulting from the analysis of variance (anova). The result (below) is an extensive table with all pairwise comparisons and thep-va...
Since R2020a collapse all in page Syntax h = plot(mpgsaObj) h = plot(mpgsaObj,Name,Value) Description h= plot(mpgsaObj)plots the empirical CDFs (ecdf(Statistics and Machine Learning Toolbox)) of multiparametric global sensitivity analysis (MPGSA) and returns the figure handleh. ...
codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘’ 1 Note that the p-value (0.535) for the interaction term between exercise and gender is not statistically significant, which indicates that there is no significant interaction effect between the two factors. Step 3: Create ...
In case if it is different for your data, you will have to define your own color codes for each state and pass it to the argument chromHMM_cols chromHMM_peaks = "H1_chromHMM.bed" track_plot(summary_list = t, col = track_cols, show_ideogram = TRUE, peaks = oct4_nanog_peaks, ...
I noticed other plots can extract data (eg, stats attribution in boxplot in this website ). Why the easiest scateer plot cannot (both NULL in codes below)? x1 <- c(3.4, 2.5, 8, -4, 1) y1 <- c(2, 3, 10, -1, 0.5) M1 <- lm(x=x1, y=y1) this_plot <- plot(M1,1)...