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Histogram and Density Plots - R Base Graphs
Pleleminary tasksCreate some dataCreate histogram plots: hist()Create density plots: density()Related articlesSee alsoInfosPreviously, we described the essentials of R programming and provided quick...
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Dot Charts - R Base Graphs
Pleleminary tasksDataR base function: dotchart()Dot chart of one numeric vectorDot chart of a matrixRelated articlesSee alsoInfosPreviously, we described the essentials of R programming and provided...
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Plot Group Means and Confidence Intervals - R Base Graphs
Pleleminary tasksDataPlot group meansRelated articlesSee alsoInfosPreviously, we described the essentials of R programming and provided quick start guides for importing data into R. Here, well...
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Lattice Graphs
Pleleminary tasksInstalling and loading the lattice packageMain functions in the lattice packagexyplot(): Scatter plotcloud(): 3D scatter plotBox plot, Dot plot, Strip plotDensity plot and HistogramSee...
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Graphical parameters
Add and customize titlesAdd legendsAdd textsAdd straight linesAdd an axis to a plotChange axis scale : minimum, maximum and log scaleCustomize tick mark labelsChange plotting symbolsChange line...
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R Base Graphs
Previously, we described the essentials of R programming and provided quick start guides for importing data into R. This chapter contains articles describring how to visualize data using R base...
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ggplot2 - Essentials
#rdoc .course_material a{font-size:18px;}Introductionggplot2 is a powerful and a flexible R package, implemented by Hadley Wickham, for producing elegant graphics.The concept behind ggplot2 divides...
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ggplot2 - Easy way to mix multiple graphs on the same page - R software and...
Install and load required packagesInstall and load the package gridExtraInstall and load the package cowplotPrepare some dataCowplot: Publication-ready plotsBasic plotsArranging multiple graphs using...
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3D graphics
Previously, we described the essentials of R programming and provided quick start guides for importing data into R as well as visualizing data using R base graphs. This chapter describes how to create...
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Data Visualization
Previously, we described the essentials of R programming and provided quick start guides for importing data into R. This chapter describes how to plot data in R and make elegant data visualization. How...
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ggpubr R Package: ggplot2-Based Publication Ready Plots
Why ggpubr?Installation and loadingGeting startedDensity and histogram plotsBox plots, violin plots, dot plots and strip chartsBar plotsLine plotsPie chartScatter plotsCleveland’s dot plotsggpar():...
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@media (min-width: 769px) {#rdoc .small-block{width: 250px; height:400px;}} /*large width*/ #rdoc .small-block{text-align:center; font-size:1.1em; margin-right:5px; display:block; float:left;}...
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Hybrid hierarchical k-means clustering for optimizing clustering outputs -...
1 How this article is organized2 Required R packages3 Data preparation4 R function for clustering analyses4.1 Example of k-means clustering4.2 Example of hierarchical clustering5 Combining hierarchical...
View ArticleExpressionSet and SummarizedExperiment
IntroductionExpressionSetSummarized ExperimentLicenceReferencesThis analysis was performed using R (ver. 3.1.0).IntroductionThe ExpressionSet is generally used for array-based experiments, where the...
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ggplot2 ECDF plot : Quick start guide for Empirical Cumulative Density...
Create some dataECDF plotsCustomized ECDF plotsInfosThis R tutorial describes how to create an ECDF plot (or Empirical Cumulative Density Function) using R software and ggplot2 package. ECDF reports...
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Descriptive Statistics and Graphics
Import your data into RCheck your dataR functions for computing descriptive statisticsDescriptive statistics for a single groupMeasure of central tendency: mean, median, modeMeasure of variablityRange:...
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QQ-plots: Quantile-Quantile plots - R Base Graphs
Pleleminary tasksExample dataCreate QQ plotsRelated articlesSee alsoInfosPreviously, we described the essentials of R programming and provided quick start guides for importing data into R. Here, we’ll...
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Normality Test in R
Install required R packagesLoad required R packagesImport your data into RCheck your dataAssess the normality of the data in RCase of large sample sizesVisual methodsNormality testInfosMany of...
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Statistical Tests and Assumptions
Research questions and corresponding statistical testsStatistical test requirements (assumptions)How to assess the normality of the data?How to assess the equality of variances?Infos Here we’ll...
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Correlation Test Between Two Variables in R
What is correlation test?Install and load required R packagesMethods for correlation analysesCorrelation formulaPearson correlation formulaSpearman correlation formulaKendall correlation formulaCompute...
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