The 95% confidence intervals of correlation coefficients between principal component values and the indices of social interactions standardized by group average value.

Principal component analysis showed distinct clustering of samples in different groups in different colors.

Jibin Zhang (306105)
Carl J. Schmidt (242484)
Susan J. Lamont (114962)

December 2018

Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...

Bivariate correlation coefficients between Social Functioning Scale (SFS) full scale and subscale scores (n = 202).

Jona R. Iffland (716882)
Denise Lockhofen (716883)
Harald Gruppe (716884)
Bernd Gallhofer (167415)
Gebhard Sammer (167417)
Bernd Hanewald (716885)

April 2015

For all correlations: p <. 01.Bivariate correlation coefficients between Social Functionin...

Figure 1

Gad Abraham (3829777)
Michael Inouye (103694)

April 2014

(a) The first two principal components from analyzing the HapMap3 dataset. (b) Scatter plots show...

Pearson correlation coefficients (r) between principal component values and the indices of social interaction standardized by group average value.

Shiomi Hakataya (17549607)
Noriko Katsu (4054423)
Kazuo Okanoya (141103)
Genta Toya (17549610)

December 2023

Pearson correlation coefficients (r) between principal component values and the indices of social in...

Basal OT is significantly correlated to Principal Component (PC) 1 (r = −0.62, p = 0.04, Spearman’s rho) and PC2 (r = 0.85, p = 0.0008, Spearman’s rho) of three social behavioral measurements in WS cohort (n = 11).

Li Dai (159381)
C. Sue Carter (159388)
Jian Ying (159396)
Ursula Bellugi (159400)
Hossein Pournajafi-Nazarloo (159406)
Julie R. Korenberg (159413)

June 2012

PC1 accounts for 39% of the variance and PC2 for 24%. Eigenvectors are shown in this table.</p

Principal Component Analysis (PCA) table of the full dataset on N = 23 variables, showing correlation coefficients for variables loaded on the 3 PCs extracted from the analysis of data from 27 participants.

Deanna Gigliotti (3138741)
Jeff R. S. Leiter (3138747)
Peter B. MacDonald (3138744)
Jason Peeler (804755)
Judy E. Anderson (602914)

September 2016

In the row for each variable, numbers indicate the strength of correlation of that variable with ...

Results of correlation matrix-based principal component analyses using three different personality traits as input variables.

Bo-jian Chen (5220374)
Kai Liu (159026)
Lin-jun Zhou (5220380)
Guilherme Gomes-Silva (5220377)
Carolin Sommer-Trembo (3523859)
Martin Plath (198009)

May 2018

Results of correlation matrix-based principal component analyses using three different personalit...

Correlation indexes and p values between the three CAS dimensions (intense-personal, entertainment-social and borderline-pathological) and average voltages of P300.

Qingguo Ma (667532)
Jia Jin (752067)
Ruixian Yuan (752068)
Wuke Zhang (728619)

June 2015

Correlation indexes and p values between the three CAS dimensions (intense-personal, enter...

Intra-class correlation coefficients with associated 95% confidence intervals for the consistency of aggression pre- to post- treatment across the four treatment groups.

Jo McEvoy (728900)
Geoffrey M. While (690012)
Susan M. Jones (314065)
Erik Wapstra (314066)

April 2015

Confidence intervals for all of the groups overlap indicating that the ICC values for each group ...

The Pearson correlation coefficients (r) between the similarity score of principal component values and time spent in proximity with that partner.

Shiomi Hakataya (17549607)
Noriko Katsu (4054423)
Kazuo Okanoya (141103)
Genta Toya (17549610)

December 2023

The Pearson correlation coefficients (r) between the similarity score of principal component values ...

Performance of the classifiers as a function of the number of principal components, averaged across the 22 subjects.

Etienne Thoret (2633653)
Thomas Andrillon (6039964)
Caroline Gauriau (13769776)
Damien Léger (4921852)
Daniel Pressnitzer (300687)

February 2024

(Right) Average pairwise correlations between the interpretation masks for different number of Princ...

Subject's natural PSF and Positive and Negative averaged PSFs.

Lucie Sawides (305579)
Carlos Dorronsoro (340527)
Andrew M. Haun (445761)
Eli Peli (283160)
Susana Marcos (305581)

August 2013

Subject's natural PSF (first row), averaged PSFs of the 10 best positive (middle row) and of the ...

Ranges of parameters and partial rank correlation coefficients (PRCC) and 95% confidence intervals in relation to R0.

Christie Mayo (3331398)
Courtney Shelley (3331395)
N. James MacLachlan (526185)
Ian Gardner (3331392)
David Hartley (2709457)
Christopher Barker (3331389)

November 2016

Ranges of parameters and partial rank correlation coefficients (PRCC) and 95% confidence interval...

Coefficients and bootstrapped confidence intervals based upon Pearson correlation matrix.

Juan Matamoros-Lima (14293467)
Guillermo B. Willis (5362955)
Miguel Moya (5362952)

December 2023

Coefficients and bootstrapped confidence intervals based upon Pearson correlation matrix.</p

Correlation coefficients between three significant PCs: 8, 1, and 3, and the significant original discrete variables for younger group.

Angkoon Phinyomark (617955)
Blayne A. Hettinga (617956)
Sean T. Osis (617957)
Reed Ferber (617958)

August 2014

Italic number shows a moderate correlation (r≥0.36) and bold number shows a strong correla...

Principal component analysis showed distinct clustering of samples in different groups in different colors.

Jibin Zhang (306105)
Carl J. Schmidt (242484)
Susan J. Lamont (114962)

December 2018

Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...

Bivariate correlation coefficients between Social Functioning Scale (SFS) full scale and subscale scores (n = 202).

Jona R. Iffland (716882)
Denise Lockhofen (716883)
Harald Gruppe (716884)
Bernd Gallhofer (167415)
Gebhard Sammer (167417)
Bernd Hanewald (716885)

April 2015

For all correlations: p <. 01.Bivariate correlation coefficients between Social Functionin...

Figure 1

Gad Abraham (3829777)
Michael Inouye (103694)

April 2014

(a) The first two principal components from analyzing the HapMap3 dataset. (b) Scatter plots show...

Pearson correlation coefficients (r) between principal component values and the indices of social interaction standardized by group average value.

Shiomi Hakataya (17549607)
Noriko Katsu (4054423)
Kazuo Okanoya (141103)
Genta Toya (17549610)

December 2023

Pearson correlation coefficients (r) between principal component values and the indices of social in...

Basal OT is significantly correlated to Principal Component (PC) 1 (r = −0.62, p = 0.04, Spearman’s rho) and PC2 (r = 0.85, p = 0.0008, Spearman’s rho) of three social behavioral measurements in WS cohort (n = 11).

Li Dai (159381)
C. Sue Carter (159388)
Jian Ying (159396)
Ursula Bellugi (159400)
Hossein Pournajafi-Nazarloo (159406)
Julie R. Korenberg (159413)

June 2012

PC1 accounts for 39% of the variance and PC2 for 24%. Eigenvectors are shown in this table.</p

Principal Component Analysis (PCA) table of the full dataset on N = 23 variables, showing correlation coefficients for variables loaded on the 3 PCs extracted from the analysis of data from 27 participants.

Deanna Gigliotti (3138741)
Jeff R. S. Leiter (3138747)
Peter B. MacDonald (3138744)
Jason Peeler (804755)
Judy E. Anderson (602914)

September 2016

In the row for each variable, numbers indicate the strength of correlation of that variable with ...

Results of correlation matrix-based principal component analyses using three different personality traits as input variables.

Bo-jian Chen (5220374)
Kai Liu (159026)
Lin-jun Zhou (5220380)
Guilherme Gomes-Silva (5220377)
Carolin Sommer-Trembo (3523859)
Martin Plath (198009)

May 2018

Results of correlation matrix-based principal component analyses using three different personalit...

Correlation indexes and p values between the three CAS dimensions (intense-personal, entertainment-social and borderline-pathological) and average voltages of P300.

Qingguo Ma (667532)
Jia Jin (752067)
Ruixian Yuan (752068)
Wuke Zhang (728619)

June 2015

Correlation indexes and p values between the three CAS dimensions (intense-personal, enter...

Intra-class correlation coefficients with associated 95% confidence intervals for the consistency of aggression pre- to post- treatment across the four treatment groups.

Jo McEvoy (728900)
Geoffrey M. While (690012)
Susan M. Jones (314065)
Erik Wapstra (314066)

April 2015

Confidence intervals for all of the groups overlap indicating that the ICC values for each group ...

The Pearson correlation coefficients (r) between the similarity score of principal component values and time spent in proximity with that partner.

Shiomi Hakataya (17549607)
Noriko Katsu (4054423)
Kazuo Okanoya (141103)
Genta Toya (17549610)

December 2023

The Pearson correlation coefficients (r) between the similarity score of principal component values ...

Performance of the classifiers as a function of the number of principal components, averaged across the 22 subjects.

Etienne Thoret (2633653)
Thomas Andrillon (6039964)
Caroline Gauriau (13769776)
Damien Léger (4921852)
Daniel Pressnitzer (300687)

February 2024

(Right) Average pairwise correlations between the interpretation masks for different number of Princ...

Subject's natural PSF and Positive and Negative averaged PSFs.

Lucie Sawides (305579)
Carlos Dorronsoro (340527)
Andrew M. Haun (445761)
Eli Peli (283160)
Susana Marcos (305581)

August 2013

Subject's natural PSF (first row), averaged PSFs of the 10 best positive (middle row) and of the ...

Ranges of parameters and partial rank correlation coefficients (PRCC) and 95% confidence intervals in relation to R0.

Christie Mayo (3331398)
Courtney Shelley (3331395)
N. James MacLachlan (526185)
Ian Gardner (3331392)
David Hartley (2709457)
Christopher Barker (3331389)

November 2016

Ranges of parameters and partial rank correlation coefficients (PRCC) and 95% confidence interval...

Coefficients and bootstrapped confidence intervals based upon Pearson correlation matrix.

Juan Matamoros-Lima (14293467)
Guillermo B. Willis (5362955)
Miguel Moya (5362952)

December 2023

Coefficients and bootstrapped confidence intervals based upon Pearson correlation matrix.</p

Correlation coefficients between three significant PCs: 8, 1, and 3, and the significant original discrete variables for younger group.

Angkoon Phinyomark (617955)
Blayne A. Hettinga (617956)
Sean T. Osis (617957)
Reed Ferber (617958)

August 2014

Italic number shows a moderate correlation (r≥0.36) and bold number shows a strong correla...

Principal component analysis showed distinct clustering of samples in different groups in different colors.

Jibin Zhang (306105)
Carl J. Schmidt (242484)
Susan J. Lamont (114962)

December 2018

Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...

Bivariate correlation coefficients between Social Functioning Scale (SFS) full scale and subscale scores (n = 202).

Jona R. Iffland (716882)
Denise Lockhofen (716883)
Harald Gruppe (716884)
Bernd Gallhofer (167415)
Gebhard Sammer (167417)
Bernd Hanewald (716885)

April 2015

For all correlations: p <. 01.Bivariate correlation coefficients between Social Functionin...

Figure 1

Gad Abraham (3829777)
Michael Inouye (103694)

April 2014

(a) The first two principal components from analyzing the HapMap3 dataset. (b) Scatter plots show...

The 95% confidence intervals of correlation coefficients between principal component values and the indices of social interactions standardized by group average value.

Abstract

Extracted data

The 95% confidence intervals of correlation coefficients between principal component values and the indices of social interactions standardized by group average value.

Abstract

Extracted data

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