Package index • CytokineProfileShinyApp

Exploratory Analysis

Functions for exploring raw data, summarizing statistics, and visualizing key patterns.

cyt_bp(): Boxplots for Overall Comparisons by Continuous Variables.

cyt_bp2(): Boxplot Function Enhanced for Specific Group Comparisons.

cyt_corr(): Calculate correlations between a target variable and all other numeric variables.

cyt_errbp(): Error Bar Plot with P-value and Effect Size Annotations

cyt_skku(): Distribution of the Data Set Shown by Skewness and Kurtosis (Revised).

cyt_volc(): Volcano Plot.

cyt_heatmap(): Heat Map.

cyt_dualflashplot(): Dual-flashlight Plot.

Univariate Analysis

Functions for performing univariate statistical tests.

cyt_anova(): ANOVA Analysis on Continuous Variables.

cyt_ttest(): Two Sample T-test Comparisons.

Multivariate Analysis

Functions for deeper multivariate insights.

cyt_splsda(): Analyze data with Sparse Partial Least Squares Discriminant Analysis (sPLS-DA).

cyt_mint_splsda(): Analyze data with MINT Sparse Partial Least Squares Discriminant Analysis (sPLS-DA).

cyt_pca(): Analyze Data with Principal Component Analysis (PCA) for Cytokines.

cyt_plsr(): Perform Partial Least Squares Regression (PLSR) or sparse PLSR (sPLSR) analysis

Machine Learning Methods

cyt_rf(): Run Random Forest Classification on Cytokine Data.

cyt_xgb(): Run XGBoost Classification on Cytokine Data.

Datasets

ExampleData1: Example Cytokine Profiling Data 1.

ExampleData2: Example Cytokine Profiling Data 2.

ExampleData3: Example Cytokine Profiling Data 3.

ExampleData4: Example Cytokine Profiling Data 4.

ExampleData5: Example Cytokine Profiling Data 5.