matlab function: multcompare.m Search Results


matlab function multcompare.m  (MathWorks Inc)
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MathWorks Inc matlab function multcompare.m
Matlab Function Multcompare.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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multcompare.m  (MathWorks Inc)
90
MathWorks Inc multcompare.m
Multcompare.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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post hoc multiple comparison test multcompare.m  (MathWorks Inc)
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MathWorks Inc post hoc multiple comparison test multcompare.m
<t>Post</t> <t>hoc</t> <t>test:</t> <t>“multiple</t> <t>comparison</t> of means” in the six paradigms. (A) Comparison of levels of the factor System. (B) Comparison of levels of the factor Subject. (C) Comparison of levels of the factor Session. Colored dots in the plots show the mean value of the level of the factor, e.g., the black dot in the first plot from the left is equal to 1.8 μV and represents the mean value of 96 measurements of the dependent variable (12 EEG recordings × 8 measurements per recording) in the paradigm AEPs with the asalab TM EEG system. Error bars and related horizontal dotted lines indicate comparison intervals. If two dots have intersecting comparison intervals, then they are not significantly different, otherwise they are. Values above and below each plot show Y -axis limits of the plot. Additionally, all plots have 5 μV interval between the lower and upper Y -axis limits. The first tree plots in each panel represent paradigms which investigate a peak-to-peak amplitude of an ERP, where a higher positive value correlates with a larger manifestation of an effect, therefore these plots have the normal direction of Y -axis. The last three plots in each panel represent paradigms which investigate amplitude of a subtraction peak (SP) of two ERP waveforms, where a higher negative value correlates with a larger manifestation of an effect, therefore these plots have the reverse direction of Y -axis. Thus, the higher a dot in all of these plots is located, the larger the manifestation of the effect in a paradigm is. Pictograms on the bottom of each plot show the paradigm related to the plot.
Post Hoc Multiple Comparison Test Multcompare.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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Average 90 stars, based on 1 article reviews
post hoc multiple comparison test multcompare.m - by Bioz Stars, 2026-04
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multcompare.m function  (MathWorks Inc)
90
MathWorks Inc multcompare.m function
<t>Post</t> <t>hoc</t> <t>test:</t> <t>“multiple</t> <t>comparison</t> of means” in the six paradigms. (A) Comparison of levels of the factor System. (B) Comparison of levels of the factor Subject. (C) Comparison of levels of the factor Session. Colored dots in the plots show the mean value of the level of the factor, e.g., the black dot in the first plot from the left is equal to 1.8 μV and represents the mean value of 96 measurements of the dependent variable (12 EEG recordings × 8 measurements per recording) in the paradigm AEPs with the asalab TM EEG system. Error bars and related horizontal dotted lines indicate comparison intervals. If two dots have intersecting comparison intervals, then they are not significantly different, otherwise they are. Values above and below each plot show Y -axis limits of the plot. Additionally, all plots have 5 μV interval between the lower and upper Y -axis limits. The first tree plots in each panel represent paradigms which investigate a peak-to-peak amplitude of an ERP, where a higher positive value correlates with a larger manifestation of an effect, therefore these plots have the normal direction of Y -axis. The last three plots in each panel represent paradigms which investigate amplitude of a subtraction peak (SP) of two ERP waveforms, where a higher negative value correlates with a larger manifestation of an effect, therefore these plots have the reverse direction of Y -axis. Thus, the higher a dot in all of these plots is located, the larger the manifestation of the effect in a paradigm is. Pictograms on the bottom of each plot show the paradigm related to the plot.
Multcompare.M 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
https://www.bioz.com/result/multcompare.m function/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
multcompare.m function - by Bioz Stars, 2026-04
90/100 stars
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anova1.m  (MathWorks Inc)
90
MathWorks Inc anova1.m
<t>Post</t> <t>hoc</t> <t>test:</t> <t>“multiple</t> <t>comparison</t> of means” in the six paradigms. (A) Comparison of levels of the factor System. (B) Comparison of levels of the factor Subject. (C) Comparison of levels of the factor Session. Colored dots in the plots show the mean value of the level of the factor, e.g., the black dot in the first plot from the left is equal to 1.8 μV and represents the mean value of 96 measurements of the dependent variable (12 EEG recordings × 8 measurements per recording) in the paradigm AEPs with the asalab TM EEG system. Error bars and related horizontal dotted lines indicate comparison intervals. If two dots have intersecting comparison intervals, then they are not significantly different, otherwise they are. Values above and below each plot show Y -axis limits of the plot. Additionally, all plots have 5 μV interval between the lower and upper Y -axis limits. The first tree plots in each panel represent paradigms which investigate a peak-to-peak amplitude of an ERP, where a higher positive value correlates with a larger manifestation of an effect, therefore these plots have the normal direction of Y -axis. The last three plots in each panel represent paradigms which investigate amplitude of a subtraction peak (SP) of two ERP waveforms, where a higher negative value correlates with a larger manifestation of an effect, therefore these plots have the reverse direction of Y -axis. Thus, the higher a dot in all of these plots is located, the larger the manifestation of the effect in a paradigm is. Pictograms on the bottom of each plot show the paradigm related to the plot.
Anova1.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
https://www.bioz.com/result/anova1.m/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
anova1.m - by Bioz Stars, 2026-04
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matlab 2015a  (MathWorks Inc)
90
MathWorks Inc matlab 2015a
<t>Post</t> <t>hoc</t> <t>test:</t> <t>“multiple</t> <t>comparison</t> of means” in the six paradigms. (A) Comparison of levels of the factor System. (B) Comparison of levels of the factor Subject. (C) Comparison of levels of the factor Session. Colored dots in the plots show the mean value of the level of the factor, e.g., the black dot in the first plot from the left is equal to 1.8 μV and represents the mean value of 96 measurements of the dependent variable (12 EEG recordings × 8 measurements per recording) in the paradigm AEPs with the asalab TM EEG system. Error bars and related horizontal dotted lines indicate comparison intervals. If two dots have intersecting comparison intervals, then they are not significantly different, otherwise they are. Values above and below each plot show Y -axis limits of the plot. Additionally, all plots have 5 μV interval between the lower and upper Y -axis limits. The first tree plots in each panel represent paradigms which investigate a peak-to-peak amplitude of an ERP, where a higher positive value correlates with a larger manifestation of an effect, therefore these plots have the normal direction of Y -axis. The last three plots in each panel represent paradigms which investigate amplitude of a subtraction peak (SP) of two ERP waveforms, where a higher negative value correlates with a larger manifestation of an effect, therefore these plots have the reverse direction of Y -axis. Thus, the higher a dot in all of these plots is located, the larger the manifestation of the effect in a paradigm is. Pictograms on the bottom of each plot show the paradigm related to the plot.
Matlab 2015a, 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
https://www.bioz.com/result/matlab 2015a/product/MathWorks Inc
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matlab 2015a - by Bioz Stars, 2026-04
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Post hoc test: “multiple comparison of means” in the six paradigms. (A) Comparison of levels of the factor System. (B) Comparison of levels of the factor Subject. (C) Comparison of levels of the factor Session. Colored dots in the plots show the mean value of the level of the factor, e.g., the black dot in the first plot from the left is equal to 1.8 μV and represents the mean value of 96 measurements of the dependent variable (12 EEG recordings × 8 measurements per recording) in the paradigm AEPs with the asalab TM EEG system. Error bars and related horizontal dotted lines indicate comparison intervals. If two dots have intersecting comparison intervals, then they are not significantly different, otherwise they are. Values above and below each plot show Y -axis limits of the plot. Additionally, all plots have 5 μV interval between the lower and upper Y -axis limits. The first tree plots in each panel represent paradigms which investigate a peak-to-peak amplitude of an ERP, where a higher positive value correlates with a larger manifestation of an effect, therefore these plots have the normal direction of Y -axis. The last three plots in each panel represent paradigms which investigate amplitude of a subtraction peak (SP) of two ERP waveforms, where a higher negative value correlates with a larger manifestation of an effect, therefore these plots have the reverse direction of Y -axis. Thus, the higher a dot in all of these plots is located, the larger the manifestation of the effect in a paradigm is. Pictograms on the bottom of each plot show the paradigm related to the plot.

Journal: Frontiers in Human Neuroscience

Article Title: Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?

doi: 10.3389/fnhum.2017.00150

Figure Lengend Snippet: Post hoc test: “multiple comparison of means” in the six paradigms. (A) Comparison of levels of the factor System. (B) Comparison of levels of the factor Subject. (C) Comparison of levels of the factor Session. Colored dots in the plots show the mean value of the level of the factor, e.g., the black dot in the first plot from the left is equal to 1.8 μV and represents the mean value of 96 measurements of the dependent variable (12 EEG recordings × 8 measurements per recording) in the paradigm AEPs with the asalab TM EEG system. Error bars and related horizontal dotted lines indicate comparison intervals. If two dots have intersecting comparison intervals, then they are not significantly different, otherwise they are. Values above and below each plot show Y -axis limits of the plot. Additionally, all plots have 5 μV interval between the lower and upper Y -axis limits. The first tree plots in each panel represent paradigms which investigate a peak-to-peak amplitude of an ERP, where a higher positive value correlates with a larger manifestation of an effect, therefore these plots have the normal direction of Y -axis. The last three plots in each panel represent paradigms which investigate amplitude of a subtraction peak (SP) of two ERP waveforms, where a higher negative value correlates with a larger manifestation of an effect, therefore these plots have the reverse direction of Y -axis. Thus, the higher a dot in all of these plots is located, the larger the manifestation of the effect in a paradigm is. Pictograms on the bottom of each plot show the paradigm related to the plot.

Article Snippet: To estimate which levels of a factor were significantly different from each other and therefore explain the variance within the factor, we conducted the post hoc multiple comparison test (Matlab function multcompare.m ).

Techniques: Comparison