R matlab

Author: n | 2025-04-24

The RMatlabpackage provides a way for R to call Matlab functions, and Matlab to call R functions. We can start Matlab from within R, or we can embed R within Matlab. When we do the latter (starting R within Matlab) using the RMatlabpackage, we start an R interpreter as MEX-accessed C code within the Matlab process. This allows us to call R (internal) Writes (sends) an R-to-MATLAB command to the MATLAB server. In order for R to communicate with MATLAB, MATLAB v6 or higher is needed. It will not work with previous

Notepad for Matlab : r/matlab - Reddit

Updated May 11, 2023Difference Between MATLAB and RThe name MATLAB stands for matrix laboratory. Matlab is a multi-paradigm numerical computing environment and proprietary programming language developed by the company called MathWorks. Matlab allows various functionalities to be performed, like matrix manipulations, plotting of functions and data, implementation of algorithms, the creation of user interface, and interfacing with programs written in various other programming languages like C, Java, C++, and Python, and many more. R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. R and its libraries implement various statistical and graphical techniques, including machine learning algorithms like classification, clustering, time-series analysis, data modeling, etc.What is MATLAB?Matlab features an application-specific solution called toolboxes. It is an essential feature of Matlab that allows us to learn and apply specialized technology. Toolboxes provide a set of Matlab functions called M-files that solve specific problems. There are various areas where toolboxes are available, like signal processing, control systems, neural network, simulations, and many other areas.What is R?The features of R are extended through user-created packages. These packages are developed primarily in R and sometimes in Java, C, C++, and Fortran. R is a command-line tool with many graphical IDEs like RStudio and R Tools for Visual Studio. Some common editors supporting R include Eclipse, Notepad++, WinEdt, etc. R functionalities are also accessible through scripting languages like Perl, Ruby, Python, etc., and high-level languages like Java, .Net, etc.Head To Head Comparison Between MATLAB and R(Infographics)Below are the top 7 differences between MATLAB vs R:Key Differences Between MATLAB and RBoth are popular choices in the market; let us discuss some of the major key differences:Classes and Objects: Object-Oriented programming brings excellent simplicity to the program. In Matlab, a class can be defined as a folder or directory of functions used to work with objects of that class, whereas in R, classes are available in the form of Packages.Installation: R can run on any operating system, but Matlab cannot run the same licensed version on different operating systems unless others are installed on the same physical machine.Usage: R is used to solve problems related to statistics, whereas Matlab is used for other aspects of mathematics such as calculus, plotting graphs, etc. R has many prepackaged programs that help to solve analytical problems, so in the analytics field, R is preferred over Matlab.Learning Curve: R can be difficult for those new to the programming language as R uses natural syntax. Since it is open-source, R has many open-source codes available that might help users get started. On the contrary, Matlab is easier to learn as it has a lot of toolboxes for most of the functionalities. Since Matlab requires a license amount of code available online is scarce.Preferred Language: R is the selected language for data analysis by most industries, whereas many Universities mostly use Matlab.Add-on Products: Matlab has a lot of add-on products available to perform various tasks. One of them is Simulink. It

Why Matlab ? : r/matlab - Reddit

MATLAB only supports TDM-gcc MinGW 4.9.2 for use in MATLAB for compiling MEX-files. Other versions of MinGW or MinGW 4.9.2 downloaded from other sources would not work.This installer requires MathWorks account and involves registration and configuration after the installation, which will help MATLAB recognize MinGW.If you are using MATLAB R2016b, then search for 'MATLAB Support for the MinGW-w64 C/C++ Compiler from TDM-GCC' from the MATLAB Add-ons menu. More information on accessing the Add-ons menu can be found in the following link: can then install the support package from the Add-on explorer. I have trouble with Matlab 2014a to compile, on a Windows 10 laptop (cannot configure mex to generate files, cannot find an appropriate compiler even if I have on my PC Visual Studio 2017, MinGW, ...). How should I process to use mex, i.e. get C files compiled and continue with Matlab Mex files as I did before ? Thanks HelloActually i have Matlab2017a, and i try to install my carte dspace 1104.I have the same problems for instal the supports TDM-gcc MinGW 4.9.2 for use in MATLAB for compiling MEX-files. Other versions of MinGW or MinGW 4.9.2 downloaded from other sources would not work.any suggestions .... Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697 Well credit loan c u s t o m e r care number 8409658697Well credit loan c u s t o m e r care number

MATLAB's jobs : r/matlab - Reddit

Styling [boolean][0]'open' - opens a browser with plot result [boolean][1][OUTPUT]:resp - results info of the plot [struct]resp.[url,warning,message,filename,error]In [ ]:api_path = ('/Users/chuckbronson/Documents/PLOTLY/MATLAB_API_DEV/DEV/TEST_PLOTS');addpath(genpath(api_path));load fitdata x y yfit;fig = figure;scatter(x, y, 'k');line(x, yfit, 'color', 'k', 'linestyle', '-', 'linewidth', 2);line(x, yfit + 0.3, 'color', 'r', 'linestyle', '--', 'linewidth', 2);line(x, yfit - 0.3, 'color', 'r', 'linestyle', '--', 'linewidth', 2);legend('Data', 'Localized Regression', 'Confidence Intervals', 2);xlabel('X');ylabel('Noisy');%%Just ONE line of Plotly Code!%%resp = fig2plotly(fig,'filename','matlab_overview_1','strip',false);resp.urlans = above plot is the ouptut from calling the scatter.m and line.m functions inherent in MATLAB®. Using the fig2plotly.m function, we are able to extract the relevant data from the MATLAB® figure object and throw the output over to our Plotly account! The returned response variable, resp, is a structure array which contains a url field with the address of our plot.Offline Usage¶We can make a Plotly graph in Matlab offline which will be saved as an html file to your current working directory using Plotly Offline. These html files will contain all of the necessary dependencies to render the plot within a browser.In [ ]:X = linspace(0,2*pi,50)';Y = [cos(X), 0.5*sin(X)];stem(X,Y)fig2plotly(gcf,'offline',true,'filename','offline-graph');Retrieve a Figure¶getplotlyfig.m: Get data, style, and layout from the plots stored onlineOne of Plotly's secret powers is the ability to translate between MATLAB's structure/cell array syntax and JSON. This allows a smooth transition between your figures in MATLAB® and those stored in your Plotly account. getplotlyfig.m allows you to grab the data, style, and layout information from your plots saved online. In fact, getploylyfig.m lets you grab the data, Style and layout of anyone's Plotly plots (as long as they are made public) - not just your own! See a graph you like online? Grab the style, layout, and data and make one for yourself.In [ ]:[INPUT]:plotlyfigure = getplotlyfig('file_owner',file_id)[WHERE]:file_owner - user name associated with the plot [string].file_id - number identifier associated with the. The RMatlabpackage provides a way for R to call Matlab functions, and Matlab to call R functions. We can start Matlab from within R, or we can embed R within Matlab. When we do the latter (starting R within Matlab) using the RMatlabpackage, we start an R interpreter as MEX-accessed C code within the Matlab process. This allows us to call R (internal) Writes (sends) an R-to-MATLAB command to the MATLAB server. In order for R to communicate with MATLAB, MATLAB v6 or higher is needed. It will not work with previous

Matlab on Linux : r/matlab - Reddit

NOTE: This command is to be used for R2019a and prior. If you are using R2019b and newer, please see this article.What is Parallel Server License Check?The 'dmlworker' MATLAB start up flag can be used to ensure that the licensing and installation for MATLAB Parallel Server is configured correctly on your cluster. This is useful as MATLAB cannot be invoked directly if licensed as part of an MATLAB Parallel Server cluster.This will also test to see if MATLAB is crashing on startup in your cluster. To test this, go to one of the worker nodes in the cluster and open up a Command Prompt or Terminal window, then run the following commands:Windowscd $MATLAB/binmatlab.exe -dmlworker -nodesktop -logfile C:\Temp\output.txt -r "ver;exit"Mac/Linuxcd $MATLAB/bin./matlab -dmlworker -nodisplay -logfile /var/tmp/output.txt -r "ver;exit"(where $MATLAB is the installation folder for MATLAB on the cluster)These will generate an output.txt file (at your specified location) that contains the 'ver' output for the worker node. If the log file contains a license manager error, this is the issue. In that case, check MATLAB Answers for the license manager error number and take the appropriate action to resolve the license error before proceeding.If you do not receive a License Manager error, confirm that "MATLAB Parallel Server" appears in the 'ver' output as an installed product.

MATLAB language : r/matlab - Reddit

Is a graphical programming environment for modeling, simulating, and analyzing multi-domain systems. R doesn’t have any add-on products. As such, it has many packages that must be included in the program.MATLAB vs R Comparison TableBelow is the topmost comparison between MATLAB vs R:The Basis Of Comparison MATLABROpen SourceMatlab is not open source. It is available as a paid version.R is open-source.SpeedMatlab is faster than R.R is slower than Matlab.FunctionalitiesMatlab performs various engineering applications like image processing, matrix manipulation, machine learning, signal processing, etc.R is mainly used for statistical analysis and data processing.Ease of UseMatlab is easy to program very complex things as many toolboxes are available.R follows programming language syntax, which might be difficult for newbies in the programming world.Availability of LibrariesMost of the functionalities are available in a toolbox that provides various functionalities.R has a lot of packages with various functionalities.Language TypeMatlab is a high-level language.R is an interpreted language.Community SupportMatlab is Licensed, so it has a closed community.Since it is open, it has a lot of community support.ConclusionWe have listed most of the differences and compared both MATLAB vs R languages with each other. Also, considering the educational value of each programming language in terms of teaching, we can say that R can provide a competitive advantage while looking for a job in analysis. Since R is open-source, an individual can contribute and give a lot of online code that might help others learn the language. As far as Matlab is concerned, this is also a widely used language. Any individual who wants to play around with the concepts of data analysis, data science, or any other mathematical operations without involving much of the coding can use this tool. Since it is a paid version, the online availability of this tool could be an issue. So, anybody wanting to learn data science independently can use the R language since it is open-source.Recommended ArticlesThis has been a guide to the top differences between MATLAB vs R. Here we also discuss MATLAB vs R key differences with infographics and a comparison table. You may also have a look at the following articles to learn more –Python vs MatlabFind out the top CCNA vs CCNPDifferences of PowerShell and BashDBMS vs RDBMS

D.Hiebeler, Matlab R Reference 1 MATLAB R Reference

OverviewJoin us in this webinar where we will explore the vast world of possibilities that MATLAB offers when combined with some of the most popular open-source tools in the field of engineering and science.In this unique event, you will discover how MATLAB, a leading platform for numerical calculations and data analysis, integrates with open-source languages like Python and C/C++. Also, you will learn how MATLAB can be used within Jupyter Notebooks as well as the Visual Studio Code IDE, creating a robust ecosystem for solving complex interdisciplinary problems. We'll show you the latest features and how you can take advantage of these integrations to optimize your workflow, improve team collaboration, and take your projects to the next level.HighlightsWhat will you learn?- Advanced techniques to integrate MATLAB with other languages like Python and C/C++, taking advantage of the best of both the MATLAB Platform and open-source languages.- How to use the MATLAB kernel in Jupyter Notebooks to document and share your analysis.- How to edit, execute and debug MATLAB code in Visual Studio Code.About the PresenterMaría Elena Gavilán is a Technical Program Manager at MathWorks, supporting researchers and educators in engineering and science. Given her technical expertise with several engineering tools and languages like C++, Python and MATLAB, Maria supports projects that seek to increase the use of MATLAB alongside Open Source in academic and research projects worldwide, particularly in applications involving AI and physical modeling. María has extensive industry experience in numerical simulation projects (CFD and FEA) in the automotive and aerospace industries. Her areas of interest currently focus on autonomous aerial vehicles, turbulence modeling, and climate change mitigation. María holds a BSc in Physics from the National University of Colombia, a MSc in Aeronautics and Astronautics from Purdue University, and an MBA from the University of Illinois at Urbana-Champaign. Mike Croucher is a Community Developer advocate at MathWorks with over 25 years' experience supporting researchers in a range of languages including Python, C++, R and, of course, MATLAB. In academia, Mike was the co-founder of The University of Sheffield’s Research Software Engineering group, one of the first such groups in the world and has been a supporter of the Research Software Engineering movement since its inception. At MathWorks, he is author of ‘The MATLAB Blog’ and focuses on Open Source, High Performance Computing and Research Software Engineering workflows.

R Shiny like application in Matlab : r/matlab - Reddit

Is a ... Trialware tags: programming, MATLAB, download MATLAB, technical computing language, MATLAB free download, MathWorks, compute, simulation, language, machine learning, visualization, data analysis, robotics, robotics language, mathematics MathGL 8.0 MathGL is ... * a library for making high-quality scientific graphics under Linux and Windows; * a library for the fast data plotting and handling of large data arrays; * ... Open Source BioSig for Octave and Matlab R2024b MATLAB, developed by MathWorks, is a high-performance language and interactive environment designed for technical computing, data analysis, algorithm development, and visualization. Renowned for its versatility and robust capabilities, MATLAB is a ... Trialware tags: programming, MATLAB, download MATLAB, technical computing language, MATLAB free download, MathWorks, compute, simulation, language, machine learning, visualization, data analysis, robotics, robotics language, mathematics DomainMath IDE 0.1.6 ... useful Open Source GUI front-end application for GNU Octave. Now, you can use this handy instrument to connect to Octave and start working on your projects. ... Open Source jHepWork 3.28.1 ... of analytic computations. In this mode, Matlab or Octave programming can be used. Comprehensive statistical packages. More than 10 thousand JAVA classes and methods are packed in 50 MB library ... Open Source Analysis Center 2022 This sophisticated piece of software turns your computer into a modern, State of The Art spectrum analyzer giving you features that go far beyond the possibilities of any stand-alone hardware unit.An ... Shareware | $299.00 ListeningEarTrainer 1.38 ... our 12 half-step scales. The second method The Octave Anchor Pitches Method does not require you to ... learn to distinguish five notes that are an octave apart. These are the C2, C3, C4, C5 ... Freeware gretl Portable 2023b ... fine-tuning Gnuplot graphs Links to GNU R, GNU Octave and Ox for further data analysis ... Open Source gretl Portable 2023b ... fine-tuning Gnuplot graphs Links to GNU R, GNU Octave and Ox for further data analysis ... Open Source jHepWork 3.28.1 ... of analytic computations. In this mode, Matlab or Octave programming can be used. Comprehensive statistical packages. More than 10 thousand JAVA classes and methods are packed in 50 MB library ... Open Source SCaVis 2.3 SCaVis is an environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students. The program incorporates many open-source software packages into a coherent interface using the ... Freeware Gnuplot for Windows 5.2.7 ... as a plotting engine by third-party applications like Octave. Gnuplot has been supported and under active development since 1986. Gnuplot supports many types of plots in either 2D and ... Open Source Mini Piano Windows 8 Mini Piano is a fun on the go App which you can use right off the bat with its intuitive interface its great for kids and adults. Full set of ... Freeware Organ8 10 ... for your Windows 8 device. Simply select your octave with arrows and play with real sounds! Features: Free real digital organ in your device with 31 simultaneous notes ... Freeware. The RMatlabpackage provides a way for R to call Matlab functions, and Matlab to call R functions. We can start Matlab from within R, or we can embed R within Matlab. When we do the latter (starting R within Matlab) using the RMatlabpackage, we start an R interpreter as MEX-accessed C code within the Matlab process. This allows us to call R (internal) Writes (sends) an R-to-MATLAB command to the MATLAB server. In order for R to communicate with MATLAB, MATLAB v6 or higher is needed. It will not work with previous

Is Matlab difficult to learn? : r/matlab - Reddit

EngineeringComputer ScienceComputer Science questions and answersI am using MATLAB to show the plot of NACA 5-digit airfoil (NACA 23012), below is my unsuccessful MATLAB code, very bad.Question: I am using MATLAB to show the plot of NACA 5-digit airfoil (NACA 23012), below is my unsuccessful MATLAB code, very bad. I am using MATLAB to show the plot of NACA 5-digit airfoil (NACA 23012), below is my unsuccessful MATLAB code, very bad. If you don't know what NACA 5-digit airfoil is, below is an description: I know it's quite complicated, but if anyone can help me write the correct MATLAB code, I will be so appreciated. the plot will look something like this: Show transcribed image textThis question hasn't been solved yet!Previous question Next questionTranscribed image text: 2 11/30/18 2:12 AM C: Users |CHENH5 \Desktoplplot 4.m for f 1:length(x) if x(f) P c dx (f) ((2*M) /(1-P) A2) (P-x(f)) end %upper and lower limits of the theta-atan (dx (f) xu (f)=x(f)-yt(f) *sin (theta); yu (f)-yc(f)tyt (f) *cos (theta) xl (f)=x ( f ) +yt ( f ) *sin ( the ta); yl (f),-ус ( f )-yt(f)"cos (theta); airfoil (xu, yu) ; (xl,yl) end tplot of airfoil plot (xu, yu,'' hold on plot (xl,yl,'r) plot ( x,yc,'g') axis equal Havin prablemm rea ouv Transcribed image text: 2 11/30/18 2:12 AM C: Users |CHENH5 \Desktoplplot 4.m for f 1:length(x) if x(f) P c dx (f) ((2*M) /(1-P) A2) (P-x(f)) end %upper and lower limits of the theta-atan (dx (f) xu (f)=x(f)-yt(f) *sin (theta);

MATLAB R2025 download : r/matlab - Reddit

24'd10; x1_real = 24'd20; x2_real = 24'd30; x3_real = 24'd40; x4_real = 24'd10; x5_real = 24'd20; x6_real = 24'd30; x7_real = 24'd40; x0_imag = 24'd0; x1_imag = 24'd0; x2_imag = 24'd0; x3_imag = 24'd0; x4_imag = 24'd0; x5_imag = 24'd0; x6_imag = 24'd0; x7_imag = 24'd0; @(negedge clk) ; en = 1 ; forever begin @(negedge clk) ; x0_real = (x0_real > 22'h3F_ffff) ? 'b0 : x0_real + 1 ; x1_real = (x1_real > 22'h3F_ffff) ? 'b0 : x1_real + 1 ; x2_real = (x2_real > 22'h3F_ffff) ? 'b0 : x2_real + 31 ; x3_real = (x3_real > 22'h3F_ffff) ? 'b0 : x3_real + 1 ; x4_real = (x4_real > 22'h3F_ffff) ? 'b0 : x4_real + 23 ; x5_real = (x5_real > 22'h3F_ffff) ? 'b0 : x5_real + 1 ; x6_real = (x6_real > 22'h3F_ffff) ? 'b0 : x6_real + 6 ; x7_real = (x7_real > 22'h3F_ffff) ? 'b0 : x7_real + 1 ; x0_imag = (x0_imag > 22'h3F_ffff) ? 'b0 : x0_imag + 2 ; x1_imag = (x1_imag > 22'h3F_ffff) ? 'b0 : x1_imag + 5 ; x2_imag = (x2_imag > 22'h3F_ffff) ? 'b0 : x2_imag + 3 ; x3_imag = (x3_imag > 22'h3F_ffff) ? 'b0 : x3_imag + 6 ; x4_imag = (x4_imag > 22'h3F_ffff) ? 'b0 : x4_imag + 4 ; x5_imag = (x5_imag > 22'h3F_ffff) ? 'b0 : x5_imag + 8 ; x6_imag = (x6_imag > 22'h3F_ffff) ? 'b0 : x6_imag + 11 ; x7_imag = (x7_imag > 22'h3F_ffff) ? 'b0 : x7_imag + 7 ; end end //finish simulation initial #1000 $finish ;endmodule仿真结果大致可以看出，FFT 结果可以流水输出。用 matlab 自带的 FFT 函数对相同数据进行运算，前 2 组数据 FFT 结果如下。可以看出，第一次输入的数据信号只有实部有效时，FFT 结果是完全一样的。但是第二次输入的数据复部也有信号，此时两者之间的结果开始有误差，有时误差还很大。用 matlab 对 Verilog 实现的 FFT 过程进行模拟，发现此过程的 FFT 结果和 Verilog 实现的 FFT 结果基本一致。将有误差的两种 FFT 结果取绝对值进行比较，图示如下。可以看出，FFT 结果的趋势大致相同，但在个别点有肉眼可见的误差。设计总结：就如设计蝶形单元时所说，旋转因子量化时，位宽的选择就会引入误差。而且每个蝶形单元的运算结果都会进行截取，也会引入误差。matlab 计算 FFT 时不用考虑精度问题，以其最高精度对数据进行 FFT 计算。以上所述，都会导致最后两种 FFT 计算方式结果的差异。感兴趣的学者，可以将旋转因子和输入数据位宽再进行一定的增加，FFT 点数也可以增加，然后再进行仿真对比，相对误差应该会减小。附录：matlab 使用生成旋转因子8 点 FFT 只需要用到 4 个旋转因子。旋转因子扩大倍数为 8192。实例 clear all;close all;clc;%=======================================================% Wnr calcuting%=======================================================for r = 0:3 Wnr_factor = cos(pi/4*r) - j*sin(pi/4*r) ; Wnr_integer = floor(Wnr_factor * 2^13) ; if (real(Wnr_integer)0) Wnr_real = real(Wnr_integer) + 2^16 ; %负数的补码 else Wnr_real = real(Wnr_integer) ; end if (imag(Wnr_integer)0) Wnr_imag = imag(Wnr_integer) + 2^16 ; else Wnr_imag = imag(Wnr_integer); end Wnr(2*r+1,:) = dec2hex(Wnr_real) %实部 Wnr(2*r+2,:) = dec2hex(Wnr_imag) %虚部endFFT 结果对比matlab 模拟 Verilog 实现 FFT 的过程如下，也包括 2 种 FFT 结果的对比。实例 clear all;close all;clc;%=======================================================% 8dots fft%=======================================================for r=0:3 Wnr(r+1) = cos(pi/4*r) - j*sin(pi/4*r) ;endx = [10, 20, 30, 40, 10, 20 ,30 ,40];step = [1+2j, 1+5j, 31+3j, 1+6j, 23+4j, 1+8j, 6+11j, 1+7j];x2 = x + step;xm0 = [x2(0+1), x2(4+1), x2(2+1), x2(6+1), x2(1+1), x2(5+1), x2(3+1), x2(7+1)] ;%% stage1 xm1(1) = xm0(1) + xm0(2)*Wnr(1) ;xm1(2) = xm0(1) - xm0(2)*Wnr(1) ;xm1(3) = xm0(3) + xm0(4)*Wnr(1) ;xm1(4) = xm0(3) - xm0(4)*Wnr(1) ;xm1(5) = xm0(5) + xm0(6)*Wnr(1) ;xm1(6) = xm0(5) - xm0(6)*Wnr(1) ;xm1(7) = xm0(7) + xm0(8)*Wnr(1) ;xm1(8) = xm0(7) - xm0(8)*Wnr(1) ;floor(xm1(:))%%. The RMatlabpackage provides a way for R to call Matlab functions, and Matlab to call R functions. We can start Matlab from within R, or we can embed R within Matlab. When we do the latter (starting R within Matlab) using the RMatlabpackage, we start an R interpreter as MEX-accessed C code within the Matlab process. This allows us to call R (internal) Writes (sends) an R-to-MATLAB command to the MATLAB server. In order for R to communicate with MATLAB, MATLAB v6 or higher is needed. It will not work with previous

MATLAB R2025a is live! : r/matlab - Reddit

Plot [string][OUTPUT]:plotlyfigure - results info of the plot [struct] plotlyfigure.[data,layout]In [ ]:%%matlab%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% GET PLOTLY FIG! %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%plotlyfigure = getplotlyfig('matlab_user_guide','664');%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DATA/STYLE %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% COLOUR CHOICEScol1 = '#3C8A22';col2 = '#097054';col3 = 'black';% LINE STYLEplotlyfigure.data{1}.line.width = 10;plotlyfigure.data{1}.line.color = col2;plotlyfigure.data{1}.opacity = 0.7;plotlyfigure.data{1}.name = 'Infection Rate';% BAR CHART STYLEplotlyfigure.data{2}.marker.color = col1;plotlyfigure.data{2}.marker.line.width = 2;plotlyfigure.data{2}.marker.line.color = col3;plotlyfigure.data{2}.opacity = 0.7;plotlyfigure.data{2}.name = 'Cases';%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% LAYOUT %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Y2 AXIS STYLEplotlyfigure.layout.yaxis2.titlefont.color = col3;plotlyfigure.layout.yaxis2.tickfont.color = col2;plotlyfigure.layout.yaxis2.tickcolor = col2;plotlyfigure.layout.yaxis2.linecolor = col2;plotlyfigure.layout.yaxis2.linewidth = 2;% X AXIS STYLEplotlyfigure.layout.xaxis.mirror = 0;plotlyfigure.layout.xaxis.showline = 0;% BAR LAYOUTplotlyfigure.layout.bargap = 0.2;%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ARGS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%args.layout = plotlyfigure.layout;args.filename = 'matlab_overview_5';args.fileopt = 'overwrite';%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% PLOTLY %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%resp = plotly(plotlyfigure.data,args);resp.urlExport Static Image¶saveplotlyfig.m: save your MATLAB® figure as an image using Plotly.saveplotlyfig.m allows you to convert your MATLAB® figures into static images (.png, .svg, .pdf, .jpeg) using Plotly.In [ ]:[INPUT]:saveplotlyfig(data, filename, format {otional})saveplotlyfig(plotlyfigure, filename, format {optional})NOTE: if format is unspecified, saveplotlyfig will use the image format given by the extension of filename. If filename does not have an explicit extension (ex: filename.pdf), the default format of PNG will be used for the conversion.[WHERE]:data - data/style of plot [cell array]plotlyfigure.data - data/style of plot [cell array]plotlyfigure.layout - layout of plot [struct]filename - name of image to be saved [string][OUTPUT]:Image 'filename' of the specified format (PNG, PDF, JPEG, or SVG) saved to your working directory.Let's have a look at saveplotlyfig.m to see how it works. Check out this next plot that was featured on the MATLAB® plot gallery.In [ ]:%%matlab%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FROM MATLAB® PLOT GALLERY %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Load Morse dataload MDdata dissimilarities dist1 dist2 dist3% Plot the first set of data in bluefig = figure;plot(dissimilarities, dist1, 'bo');hold on;% Plot the second set of data in redplot(dissimilarities, dist2, 'r+');% Plot the third set of data in greenplot(dissimilarities, dist3, 'g^');% Add title and axis labelstitle('Morse Signal Analysis');xlabel('Dissimilarities');ylabel('Distances');%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% PLOTLY %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%filename = 'matlab_overview_8';resp = fig2plotly(fig,'filename',filename,'strip',false);resp.urlIn [ ]:plotlyfigure = getplotlyfig('matlab_user_guide','670');filename = 'morse.png';saveplotlyfig(plotlyfigure,filename)Boom! morse.png has been automatically saved to our