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kernel density estimation  (RStudio)

 
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    RStudio kernel density estimation
    Kernel Density Estimation, 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/product/kernel+density+estimate/kernel+density+estimation/pmc10603203-112-4-16
    Average 90 stars, based on 1 article reviews
    kernel density estimation - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Evolution of focused streams for viscoelastic flow in spiral microchannels.
    Article Snippet: Using the distance measurements, a kernel density estimate (KDE) plot was used to generate the probability distribution function (PDF)32–34 in the direction of channel height (RStudio, Inc).

    Article Title: Inter-nesting, migration, and foraging behaviors of green turtles ( Chelonia mydas ) in the central-southern Red Sea
    Article Snippet: The home range and core use area of each turtle’s inter-nesting and foraging habitat were calculated separately with the kernel density estimation in R Studio version 2021.09.0 + 351 using the AdehabitatHR package , [following ].

    Article Title: WDR62 localizes katanin at spindle poles to ensure synchronous chromosome segregation.
    Article Snippet: Frequency distributions in RStudio were computed using kernel density estimate function.

    Article Title: Evolution of focused streams for viscoelastic flow in spiral microchannels
    Article Snippet: Using the distance measurements, a kernel density estimate (KDE) plot was used to generate the probability distribution function (PDF) – in the direction of channel height (RStudio, Inc).

    Article Title: Inter-nesting, migration, and foraging behaviors of green turtles (Chelonia mydas) in the central-southern Red Sea.
    Article Snippet: The home range and core use area of each turtle’s inter-nesting and foraging habitat were calculated separately with the kernel density estimation in R Studio version 2021.09.0 + 35127 using the AdehabitatHR package28,29 [following30].

    Generated:

    Article Title: Hydration dynamics and IR spectroscopy of 4-fluorophenol.
    Article Snippet: .. A 2-dimensional histogram of the water positions was generated and then refined from kernel density estimation using Rstudio.92 The distribution of the solvent water around the CF-part of F-PhOH is comparatively flat for all simulations with PC, MTP and PhysNet when contrasted with the COH-moiety of the solute, see Fig. 6. ..

    Solvent:

    Article Title: Hydration dynamics and IR spectroscopy of 4-fluorophenol.
    Article Snippet: .. A 2-dimensional histogram of the water positions was generated and then refined from kernel density estimation using Rstudio.92 The distribution of the solvent water around the CF-part of F-PhOH is comparatively flat for all simulations with PC, MTP and PhysNet when contrasted with the COH-moiety of the solute, see Fig. 6. ..

    Software:

    Article Title: Childhood acute lymphoblastic leukemia survival and spatial analysis of socio-environmental risks in Mexico
    Article Snippet: .. Spatial analysis methods involving Kernel Density Estimation, discrete Poisson modeling, and hierarchical clustering were performed in Rstudio © , SatScan © , and QGis © software. ..



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    Image Search Results


    3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Journal: Frontiers in Health Services

    Article Title: Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)

    doi: 10.3389/frhs.2025.1621018

    Figure Lengend Snippet: 3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Article Snippet: To analyze the dynamic evolution of service capacity across institutions, a 3D Kernel Density Estimation (KDE) was constructed using MATLAB, based on composite TOPSIS scores from 2019 to 2023.

    Techniques:

    Intraoperative direct electrical stimulation sites . All stimulation sites for Patients 1–6 ( A – F ) are visualized on a 3D reconstruction of the anterior bank of their central sulcus and combined on the International Consortium for Brain Mapping (ICBM) 152 central sulcus template ( G ). Effector-specific sites are displayed in blue, while inter-effector sites [somato-cognitive action network (SCAN)] are displayed in red. H displays the spatial relationship between the inter-effector sites and the plis de passage (PDP) Montreal Neurological Institute (MNI) coordinates ( top ) and their probability density estimation ( bottom ). The three coloured circles in the top image represent the same PDP sites as in . ( I ) Box plot showing the probability of overlap between stimulation sites [inter-effector (red) versus single-effector (blue)] for the two subsectors (anterior, posterior) of area 4. Mann–Whitney U-test; not significant, ns: P ≥ 0.05.

    Journal: Brain

    Article Title: White matter connections within the central sulcus subserving the somato-cognitive action network

    doi: 10.1093/brain/awaf022

    Figure Lengend Snippet: Intraoperative direct electrical stimulation sites . All stimulation sites for Patients 1–6 ( A – F ) are visualized on a 3D reconstruction of the anterior bank of their central sulcus and combined on the International Consortium for Brain Mapping (ICBM) 152 central sulcus template ( G ). Effector-specific sites are displayed in blue, while inter-effector sites [somato-cognitive action network (SCAN)] are displayed in red. H displays the spatial relationship between the inter-effector sites and the plis de passage (PDP) Montreal Neurological Institute (MNI) coordinates ( top ) and their probability density estimation ( bottom ). The three coloured circles in the top image represent the same PDP sites as in . ( I ) Box plot showing the probability of overlap between stimulation sites [inter-effector (red) versus single-effector (blue)] for the two subsectors (anterior, posterior) of area 4. Mann–Whitney U-test; not significant, ns: P ≥ 0.05.

    Article Snippet: The region of highest probability of evoking MEPs was computed using a modified in-house version of probability kernel density estimation (PDE analysis) implemented in MATLAB.

    Techniques: MANN-WHITNEY