Calculation of fitting statistics for evaluating scale free topology fit.
计算拟合统计评估无标度拓扑结构适合。
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The function scaleFreeFitIndex calculates several indices (fitting statistics) for evaluating scale free topology fit. The input is a vector (of connectivities) k. Next k is discretized into nBreaks number of equal-width bins. Let's denote the resulting vector dk. The relative frequency for each bin is denoted p.dk.
的的功能scaleFreeFitIndex计算几个指数拟合统计评估无标度拓扑结构适合。输入是一个向量(连通)K。往下K离散为nBreaks数量等宽箱。让的表示所得到的向量dk的。每个容器的相对频率为表示p.dk.
参数:nBreaks
positive integer. This determines the number of equal width bins.
正整数。这就决定了宽度相等的箱数。
参数:removeFirst
logical. If TRUE then the first bin will be removed.
逻辑。如果是TRUE,那么第一个bin将被删除。
值----------Value----------
Data frame with columns
与列的数据框
参数:Rsquared.SFT
the model fitting index (R.squared) from the following model lm(log.p.dk ~ log.dk)
从下面的模型LM模型拟合指数(R.squared)(log.p.dk~log.dk)
参数:slope.SFT
the slope estimate from model lm(log(p(k))~log(k))
斜率估计LM模型(log(P(K))log(K))
参数:truncatedExponentialAdjRsquared
the adjusted R.squared measure from the truncated exponential model given by lm2 = lm(log.p.dk ~ log.dk + dk).
由LM2的调整R.squared的措施,从被截断的指数模型=流明(log.p.dk~log.dk + DK)。