prcomp function in r Search Results


prcomp function in r  (RStudio)
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RStudio prcomp function in r
Prcomp Function In R, 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
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prcomp function v4.2.1  (RStudio)
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RStudio prcomp function v4.2.1
Prcomp Function V4.2.1, 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
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fviz_pca_biplot function  (RStudio)
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RStudio fviz_pca_biplot function
Fviz Pca Biplot Function, 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
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ggplot  (RStudio)
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RStudio ggplot
Ggplot, 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
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ggplot2  (RStudio)
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RStudio ggplot2
Ggplot2, 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
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prcomp function in rstudio 2 v1.1.383  (RStudio)
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RStudio prcomp function in rstudio 2 v1.1.383
Prcomp Function In Rstudio 2 V1.1.383, 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
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prcomp function in rstudio 2 v1.1.383 - by Bioz Stars, 2026-07
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r studio version 1.4.1103  (RStudio)
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RStudio r studio version 1.4.1103
R Studio Version 1.4.1103, 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
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arcgis v10.2  (Esri inc)
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Esri inc arcgis v10.2
Potential distribution of Centaurea gadorensis drawn with MAXENT. Top left, topographic map showing the location of genetically studied populations of C. gadorensis (full circles), C. pulvinata (stars) and C. sagredoi (squares). Additional presence records of C. gadorensis used for ecological niche modeling (ENM) are shown in empty circles. Top right, at the present time; bottom left, at the Last Glacial Maximum (LGM, ca. 21,000 years BP) using the Community Climate System Model (CCSM); bottom right, at the LGM using the Model of Max Planck Institute for Meteorology (MPI-ESM). Black dots indicate current populations of the species, whereas the dashed line shows the present coastline. The probability of presence is shown as continuous values from the threshold (defined as Maximum Sensitivity plus Specificity) to 1. This figure has been generated with <t>ARCGIS.</t>
Arcgis V10.2, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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prcomp function of the terra package  (RStudio)
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RStudio prcomp function of the terra package
Potential distribution of Centaurea gadorensis drawn with MAXENT. Top left, topographic map showing the location of genetically studied populations of C. gadorensis (full circles), C. pulvinata (stars) and C. sagredoi (squares). Additional presence records of C. gadorensis used for ecological niche modeling (ENM) are shown in empty circles. Top right, at the present time; bottom left, at the Last Glacial Maximum (LGM, ca. 21,000 years BP) using the Community Climate System Model (CCSM); bottom right, at the LGM using the Model of Max Planck Institute for Meteorology (MPI-ESM). Black dots indicate current populations of the species, whereas the dashed line shows the present coastline. The probability of presence is shown as continuous values from the threshold (defined as Maximum Sensitivity plus Specificity) to 1. This figure has been generated with <t>ARCGIS.</t>
Prcomp Function Of The Terra Package, 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
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prcomp function of the terra package - by Bioz Stars, 2026-07
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singular value decomposition  (RStudio)
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RStudio singular value decomposition
Potential distribution of Centaurea gadorensis drawn with MAXENT. Top left, topographic map showing the location of genetically studied populations of C. gadorensis (full circles), C. pulvinata (stars) and C. sagredoi (squares). Additional presence records of C. gadorensis used for ecological niche modeling (ENM) are shown in empty circles. Top right, at the present time; bottom left, at the Last Glacial Maximum (LGM, ca. 21,000 years BP) using the Community Climate System Model (CCSM); bottom right, at the LGM using the Model of Max Planck Institute for Meteorology (MPI-ESM). Black dots indicate current populations of the species, whereas the dashed line shows the present coastline. The probability of presence is shown as continuous values from the threshold (defined as Maximum Sensitivity plus Specificity) to 1. This figure has been generated with <t>ARCGIS.</t>
Singular Value Decomposition, 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
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singular value decomposition - by Bioz Stars, 2026-07
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version 2022.12.0 + 353  (RStudio)
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RStudio version 2022.12.0 + 353
Potential distribution of Centaurea gadorensis drawn with MAXENT. Top left, topographic map showing the location of genetically studied populations of C. gadorensis (full circles), C. pulvinata (stars) and C. sagredoi (squares). Additional presence records of C. gadorensis used for ecological niche modeling (ENM) are shown in empty circles. Top right, at the present time; bottom left, at the Last Glacial Maximum (LGM, ca. 21,000 years BP) using the Community Climate System Model (CCSM); bottom right, at the LGM using the Model of Max Planck Institute for Meteorology (MPI-ESM). Black dots indicate current populations of the species, whereas the dashed line shows the present coastline. The probability of presence is shown as continuous values from the threshold (defined as Maximum Sensitivity plus Specificity) to 1. This figure has been generated with <t>ARCGIS.</t>
Version 2022.12.0 + 353, 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/prcomp+function+in+r/pmc10502851-60-24-23?v=RStudio
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version 2022.12.0 + 353 - by Bioz Stars, 2026-07
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r studio software  (RStudio)
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RStudio r studio software
<t>The</t> <t>physicochemical</t> property of bioactive compounds from each herb in <t>XYS.</t> (A) physicochemical diversity including molecular weight (MW); (B) the value of partition coefficient between octanol and water (ALogP); (C) number of possible hydrogen-bond donors (Hdon); (D) number of hydrogen-bond acceptors (Hacc).
R Studio Software, 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
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r studio software - by Bioz Stars, 2026-07
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Image Search Results


Potential distribution of Centaurea gadorensis drawn with MAXENT. Top left, topographic map showing the location of genetically studied populations of C. gadorensis (full circles), C. pulvinata (stars) and C. sagredoi (squares). Additional presence records of C. gadorensis used for ecological niche modeling (ENM) are shown in empty circles. Top right, at the present time; bottom left, at the Last Glacial Maximum (LGM, ca. 21,000 years BP) using the Community Climate System Model (CCSM); bottom right, at the LGM using the Model of Max Planck Institute for Meteorology (MPI-ESM). Black dots indicate current populations of the species, whereas the dashed line shows the present coastline. The probability of presence is shown as continuous values from the threshold (defined as Maximum Sensitivity plus Specificity) to 1. This figure has been generated with ARCGIS.

Journal: Frontiers in Plant Science

Article Title: Influence of the Quaternary Glacial Cycles and the Mountains on the Reticulations in the Subsection Willkommia of the Genus Centaurea

doi: 10.3389/fpls.2019.00303

Figure Lengend Snippet: Potential distribution of Centaurea gadorensis drawn with MAXENT. Top left, topographic map showing the location of genetically studied populations of C. gadorensis (full circles), C. pulvinata (stars) and C. sagredoi (squares). Additional presence records of C. gadorensis used for ecological niche modeling (ENM) are shown in empty circles. Top right, at the present time; bottom left, at the Last Glacial Maximum (LGM, ca. 21,000 years BP) using the Community Climate System Model (CCSM); bottom right, at the LGM using the Model of Max Planck Institute for Meteorology (MPI-ESM). Black dots indicate current populations of the species, whereas the dashed line shows the present coastline. The probability of presence is shown as continuous values from the threshold (defined as Maximum Sensitivity plus Specificity) to 1. This figure has been generated with ARCGIS.

Article Snippet: We extracted values for each variable at every locality using ARCGIS v10.2 (ESRI, Redlands, CA, United States), performed principal components analyses with the prcomp function and “scale = TRUE” in R, and calculated the distances between populations using the dist function in R. MMRR analysis was implemented using the MMRR function in R ( ).

Techniques: Generated

The physicochemical property of bioactive compounds from each herb in XYS. (A) physicochemical diversity including molecular weight (MW); (B) the value of partition coefficient between octanol and water (ALogP); (C) number of possible hydrogen-bond donors (Hdon); (D) number of hydrogen-bond acceptors (Hacc).

Journal: Frontiers in Pharmacology

Article Title: An Integrated Pharmacology-Based Analysis for Antidepressant Mechanism of Chinese Herbal Formula Xiao-Yao-San

doi: 10.3389/fphar.2020.00284

Figure Lengend Snippet: The physicochemical property of bioactive compounds from each herb in XYS. (A) physicochemical diversity including molecular weight (MW); (B) the value of partition coefficient between octanol and water (ALogP); (C) number of possible hydrogen-bond donors (Hdon); (D) number of hydrogen-bond acceptors (Hacc).

Article Snippet: To evaluate the chemical distribution of antidepressant-related compounds in XYS, we used principal component analysis (PCA) for physicochemical-related parameters (MW, ALogP, nHDon, and nHAcc) though the prcomp function in R studio software.

Techniques: Molecular Weight

(A) Heatmap for mean scores of cMap antidepressant compounds. The color represents different relative connection mean score. (B) PCA analysis for physicochemical properties of antidepressant potential molecules. Each node indicates a compound, cMap (blue), Drugbank (red), XYS (XYS), the circle means 95%. (C) the correlation analysis for ADME properties of each group (the property of Hdon and Hacc have not shown).

Journal: Frontiers in Pharmacology

Article Title: An Integrated Pharmacology-Based Analysis for Antidepressant Mechanism of Chinese Herbal Formula Xiao-Yao-San

doi: 10.3389/fphar.2020.00284

Figure Lengend Snippet: (A) Heatmap for mean scores of cMap antidepressant compounds. The color represents different relative connection mean score. (B) PCA analysis for physicochemical properties of antidepressant potential molecules. Each node indicates a compound, cMap (blue), Drugbank (red), XYS (XYS), the circle means 95%. (C) the correlation analysis for ADME properties of each group (the property of Hdon and Hacc have not shown).

Article Snippet: To evaluate the chemical distribution of antidepressant-related compounds in XYS, we used principal component analysis (PCA) for physicochemical-related parameters (MW, ALogP, nHDon, and nHAcc) though the prcomp function in R studio software.

Techniques:

(A) Sankey diagram. Sankey diagram direct shown the relationship between compounds and targets. The blocks on the up represent the hub targets. And the underneath blocks indicate compounds, as follow: quercetin, luteolin, acacetin, aloe-emodin, gadelaidic acid, Glyasperin C, kaempferol, naringenin, paeoniflorin. (B) The chemical base peak intensity (BPI) chromatogram of key compounds characterization of XYS in positive ion mode and negative ion mode determined by UPLC-Q-TOF/MS. Identification No.:1. Paeoniflorin; 2. Kaempferol; 3. Quercetin; 4. Aloe emodin; 5. Luteolin; 6. Glyasperin C; 7. Acacetin.

Journal: Frontiers in Pharmacology

Article Title: An Integrated Pharmacology-Based Analysis for Antidepressant Mechanism of Chinese Herbal Formula Xiao-Yao-San

doi: 10.3389/fphar.2020.00284

Figure Lengend Snippet: (A) Sankey diagram. Sankey diagram direct shown the relationship between compounds and targets. The blocks on the up represent the hub targets. And the underneath blocks indicate compounds, as follow: quercetin, luteolin, acacetin, aloe-emodin, gadelaidic acid, Glyasperin C, kaempferol, naringenin, paeoniflorin. (B) The chemical base peak intensity (BPI) chromatogram of key compounds characterization of XYS in positive ion mode and negative ion mode determined by UPLC-Q-TOF/MS. Identification No.:1. Paeoniflorin; 2. Kaempferol; 3. Quercetin; 4. Aloe emodin; 5. Luteolin; 6. Glyasperin C; 7. Acacetin.

Article Snippet: To evaluate the chemical distribution of antidepressant-related compounds in XYS, we used principal component analysis (PCA) for physicochemical-related parameters (MW, ALogP, nHDon, and nHAcc) though the prcomp function in R studio software.

Techniques:

Chemical composition of key ingredients from XYS identified by UPLC-Q/TOF-MS.

Journal: Frontiers in Pharmacology

Article Title: An Integrated Pharmacology-Based Analysis for Antidepressant Mechanism of Chinese Herbal Formula Xiao-Yao-San

doi: 10.3389/fphar.2020.00284

Figure Lengend Snippet: Chemical composition of key ingredients from XYS identified by UPLC-Q/TOF-MS.

Article Snippet: To evaluate the chemical distribution of antidepressant-related compounds in XYS, we used principal component analysis (PCA) for physicochemical-related parameters (MW, ALogP, nHDon, and nHAcc) though the prcomp function in R studio software.

Techniques: