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histogram/scatterplot plot matrix  (RStudio)

 
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    RStudio histogram/scatterplot plot matrix
    Histogram/Scatterplot Plot Matrix, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/histogram/scatterplot plot matrix/product/RStudio
    Average 90 stars, based on 1 article reviews
    histogram/scatterplot plot matrix - by Bioz Stars, 2026-04
    90/100 stars

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    Image Search Results


    Paired scatterplot matrix for the covariates in the ETOPFACAR dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Journal: Scientific Reports

    Article Title: Epidemiological overview of multidimensional chromosomal and genome toxicity of cannabis exposure in congenital anomalies and cancer development

    doi: 10.1038/s41598-021-93411-5

    Figure Lengend Snippet: Paired scatterplot matrix for the covariates in the ETOPFACAR dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Article Snippet: Figure 5 Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Techniques:

    Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Journal: Scientific Reports

    Article Title: Epidemiological overview of multidimensional chromosomal and genome toxicity of cannabis exposure in congenital anomalies and cancer development

    doi: 10.1038/s41598-021-93411-5

    Figure Lengend Snippet: Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Article Snippet: Figure 5 Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Techniques:

    Effect of dichotomized cannabis legal status on PC1 for ETOPFA-corrected and cancer data. ( A ) Scatterplot over time for PC1 for ETOPFA-corrected anomalies for legal status dichotomized as legal cannabis states v not legal cannabis states. ( B ) Scatterplot over time for PC1 for cancer incidence dichotomized by legal status as illegal states v. liberal states. ( C ) Boxplot for PC1 for ETOPFA-adjusted congenital anomalies time-aggregated data by legal status dichotomized as in ( A ). ( D ) Boxplot for PC1 for selected cancer incidence of dichotomized legal status over aggregated time dichotomized as in ( B ). (Created in R-Studio version 1.3.1093 using ggplot2 version 3.3.2).

    Journal: Scientific Reports

    Article Title: Epidemiological overview of multidimensional chromosomal and genome toxicity of cannabis exposure in congenital anomalies and cancer development

    doi: 10.1038/s41598-021-93411-5

    Figure Lengend Snippet: Effect of dichotomized cannabis legal status on PC1 for ETOPFA-corrected and cancer data. ( A ) Scatterplot over time for PC1 for ETOPFA-corrected anomalies for legal status dichotomized as legal cannabis states v not legal cannabis states. ( B ) Scatterplot over time for PC1 for cancer incidence dichotomized by legal status as illegal states v. liberal states. ( C ) Boxplot for PC1 for ETOPFA-adjusted congenital anomalies time-aggregated data by legal status dichotomized as in ( A ). ( D ) Boxplot for PC1 for selected cancer incidence of dichotomized legal status over aggregated time dichotomized as in ( B ). (Created in R-Studio version 1.3.1093 using ggplot2 version 3.3.2).

    Article Snippet: Figure 5 Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Techniques: Cannabis