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Results may be inaccurate. RCOND = 1.034803e-027

Submitted by Marisa on
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Hi everybody, When I'm regressing out covariates Matlab returns the following to me: Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.034803e-027. > In rest_RegressOutCovariates>Brain4D_RegressOutCovariables at 92 In rest_RegressOutCovariates at 54 In rest_RegressOutCovariates_gui>Run_Callback at 238 In gui_mainfcn at 96

rest slicer viewer 报错

Submitted by insular on
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打开overlay时报错: ??? Attempted to access theOverlay(1,217); index out of bounds because size(theOverlay)=[181,216]. Error in ==> rest_sliceviewer>AddOverlay at 2965 newOverlay(i,j)=theOverlay(i+abs(floor(Zset*theMagnifyCoefficient)),j+abs(floor(Yset*theMagnifyCoefficient))); Error in ==> rest_sliceviewer>SetView_Orthogonal at 1445

Regress out Nuissance Covariates (in DPARSF)

Submitted by Rita on
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Can I use this option if my data is not of the same resolution as the white, gray matter, etc. images that are used to calculate the nuissance covariates? I'm asking because I know that I cannot use the default mask if it is not of the same resolution. I'm wondering if the principle applies here too.

求助

Submitted by natalia on
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老师您好:
    我在用DPARSF处理数据(计算REHO)时出现了如上的报错,同一批被试,只有两个出现了这种报错,其他均成功跑完,请问错误的原因是什么?我该如何解决?谢谢您。