princomp function statistical toolbox Search Results


princomp function in  (MathWorks Inc)
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MathWorks Inc princomp function in
Princomp Function In, supplied by MathWorks 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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function princomp.m  (MathWorks Inc)
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MathWorks Inc function princomp.m
Function Princomp.M, supplied by MathWorks 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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principal component analysis (pca) function  (MathWorks Inc)
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MathWorks Inc principal component analysis (pca) function
Principal Component Analysis (Pca) Function, supplied by MathWorks 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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matlab function 'princomp  (MathWorks Inc)
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MathWorks Inc matlab function 'princomp
Matlab Function 'princomp, supplied by MathWorks 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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princomp function  (MathWorks Inc)
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MathWorks Inc princomp function
Princomp Function, supplied by MathWorks 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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principle component analysis function  (MathWorks Inc)
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MathWorks Inc principle component analysis function
Principle Component Analysis Function, supplied by MathWorks 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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matlab function fitlm  (MathWorks Inc)
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MathWorks Inc matlab function fitlm
Clustering of the first two principal component coefficients of the 11 FFR measures . (A) The PC coefficients for each measure are plotted as empty circles connected with the lines to the centroid of their cluster that is plotted as a filled circle. Abbreviations: SN – FFR SNR, NR – Noise RMS, PL – Power LOW, PM – Power MID, mI – maxITPC, RC – Response Consistency, PS – Pitch Strength, IL – ITPC LOW, IM – ITPC MID, dL – Low/High Power Ratio, dM – Mid/High Power Ratio. AU – arbitrary units. (B) Main effects in <t>ANCOVA</t> analysis, representing an effect of one factor on the response from changing the factor value while averaging out the effects of the other factors . The factors are listed along the y-axes. The bars indicate the confidence intervals. The significant factors (i.e., those whose confidence intervals do not include zero) are marked with asterisks. ( C) Synchronization and ( D ) Power findings of the two experimental groups controlled for Age, Tone, and Maternal Education. Non-parametric Wilcoxon rank-sum tests demonstrated that Synchronization ( Z = − 1.88, P = 0.030) but not Power ( Z = − 0.97, P = 0.17) was impaired by prematurity.
Matlab Function Fitlm, supplied by MathWorks 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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matlab function princomps  (MathWorks Inc)
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MathWorks Inc matlab function princomps
Clustering of the first two principal component coefficients of the 11 FFR measures . (A) The PC coefficients for each measure are plotted as empty circles connected with the lines to the centroid of their cluster that is plotted as a filled circle. Abbreviations: SN – FFR SNR, NR – Noise RMS, PL – Power LOW, PM – Power MID, mI – maxITPC, RC – Response Consistency, PS – Pitch Strength, IL – ITPC LOW, IM – ITPC MID, dL – Low/High Power Ratio, dM – Mid/High Power Ratio. AU – arbitrary units. (B) Main effects in <t>ANCOVA</t> analysis, representing an effect of one factor on the response from changing the factor value while averaging out the effects of the other factors . The factors are listed along the y-axes. The bars indicate the confidence intervals. The significant factors (i.e., those whose confidence intervals do not include zero) are marked with asterisks. ( C) Synchronization and ( D ) Power findings of the two experimental groups controlled for Age, Tone, and Maternal Education. Non-parametric Wilcoxon rank-sum tests demonstrated that Synchronization ( Z = − 1.88, P = 0.030) but not Power ( Z = − 0.97, P = 0.17) was impaired by prematurity.
Matlab Function Princomps, supplied by MathWorks 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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function pca using svd  (MathWorks Inc)
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MathWorks Inc function pca using svd
Clustering of the first two principal component coefficients of the 11 FFR measures . (A) The PC coefficients for each measure are plotted as empty circles connected with the lines to the centroid of their cluster that is plotted as a filled circle. Abbreviations: SN – FFR SNR, NR – Noise RMS, PL – Power LOW, PM – Power MID, mI – maxITPC, RC – Response Consistency, PS – Pitch Strength, IL – ITPC LOW, IM – ITPC MID, dL – Low/High Power Ratio, dM – Mid/High Power Ratio. AU – arbitrary units. (B) Main effects in <t>ANCOVA</t> analysis, representing an effect of one factor on the response from changing the factor value while averaging out the effects of the other factors . The factors are listed along the y-axes. The bars indicate the confidence intervals. The significant factors (i.e., those whose confidence intervals do not include zero) are marked with asterisks. ( C) Synchronization and ( D ) Power findings of the two experimental groups controlled for Age, Tone, and Maternal Education. Non-parametric Wilcoxon rank-sum tests demonstrated that Synchronization ( Z = − 1.88, P = 0.030) but not Power ( Z = − 0.97, P = 0.17) was impaired by prematurity.
Function Pca Using Svd, supplied by MathWorks 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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Image Search Results


Clustering of the first two principal component coefficients of the 11 FFR measures . (A) The PC coefficients for each measure are plotted as empty circles connected with the lines to the centroid of their cluster that is plotted as a filled circle. Abbreviations: SN – FFR SNR, NR – Noise RMS, PL – Power LOW, PM – Power MID, mI – maxITPC, RC – Response Consistency, PS – Pitch Strength, IL – ITPC LOW, IM – ITPC MID, dL – Low/High Power Ratio, dM – Mid/High Power Ratio. AU – arbitrary units. (B) Main effects in ANCOVA analysis, representing an effect of one factor on the response from changing the factor value while averaging out the effects of the other factors . The factors are listed along the y-axes. The bars indicate the confidence intervals. The significant factors (i.e., those whose confidence intervals do not include zero) are marked with asterisks. ( C) Synchronization and ( D ) Power findings of the two experimental groups controlled for Age, Tone, and Maternal Education. Non-parametric Wilcoxon rank-sum tests demonstrated that Synchronization ( Z = − 1.88, P = 0.030) but not Power ( Z = − 0.97, P = 0.17) was impaired by prematurity.

Journal: Developmental Cognitive Neuroscience

Article Title: Deficits in neural encoding of speech in preterm infants

doi: 10.1016/j.dcn.2023.101259

Figure Lengend Snippet: Clustering of the first two principal component coefficients of the 11 FFR measures . (A) The PC coefficients for each measure are plotted as empty circles connected with the lines to the centroid of their cluster that is plotted as a filled circle. Abbreviations: SN – FFR SNR, NR – Noise RMS, PL – Power LOW, PM – Power MID, mI – maxITPC, RC – Response Consistency, PS – Pitch Strength, IL – ITPC LOW, IM – ITPC MID, dL – Low/High Power Ratio, dM – Mid/High Power Ratio. AU – arbitrary units. (B) Main effects in ANCOVA analysis, representing an effect of one factor on the response from changing the factor value while averaging out the effects of the other factors . The factors are listed along the y-axes. The bars indicate the confidence intervals. The significant factors (i.e., those whose confidence intervals do not include zero) are marked with asterisks. ( C) Synchronization and ( D ) Power findings of the two experimental groups controlled for Age, Tone, and Maternal Education. Non-parametric Wilcoxon rank-sum tests demonstrated that Synchronization ( Z = − 1.88, P = 0.030) but not Power ( Z = − 0.97, P = 0.17) was impaired by prematurity.

Article Snippet: The scores of the two principal components and individual measures were fed into a 4-way fixed-effects ANCOVA (MATLAB function fitlm with method anova ) with two discrete factors of Prematurity (preterm versus term) and Tone (ga2, ga3, or ga4) and two continuous factors of Corrected Age at FFR data collection (in months) and Maternal Education (in years).

Techniques:

Results of the 3-way fixed-effects ANCOVA for individual measures (FDR-corrected across measures and factors).

Journal: Developmental Cognitive Neuroscience

Article Title: Deficits in neural encoding of speech in preterm infants

doi: 10.1016/j.dcn.2023.101259

Figure Lengend Snippet: Results of the 3-way fixed-effects ANCOVA for individual measures (FDR-corrected across measures and factors).

Article Snippet: The scores of the two principal components and individual measures were fed into a 4-way fixed-effects ANCOVA (MATLAB function fitlm with method anova ) with two discrete factors of Prematurity (preterm versus term) and Tone (ga2, ga3, or ga4) and two continuous factors of Corrected Age at FFR data collection (in months) and Maternal Education (in years).

Techniques: