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The P2 data set shows similar, albeit somewhat lower variation (mean deviation factor of ×1.51).
When distances were estimated using a different substitution model (set P1"), the mean deviation factor increased to ×1.87 (0.271 decimal log units).
Compared with the mean deviation factor of ×1.84 (0.266 decimal log units) for the P1 set, exclusion of 7 of the 4,887 alignments with identity less than 40% from the set P1' leads to the decrease of the mean deviation factor to ×1.83 (0.264 decimal log units).
Taking the observed distance multiplied by the alignment length as the expected effective number of substitutions and averaging the log of the mean deviation factor across the clades and the COGs, one can estimate the expected sampling error.
This variation was in the range of 0.127 0.458 decimal log units (deviation factor of ×1.34 to ×2.87) for the P1 data set (mean deviation factor ×1.84, 0.266 decimal log units) (table 1).
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For the P1 and P2 data sets, the fluctuations due to the finite number of observed substitutions are expected to produce variation of the distances with the mean deviation factors of ×1.26 and ×1.16, respectively, that is, 38%and37%7% of the observed deviation factors (table 1).
Due to the uneven distribution of the Real Time PCR results, the data obtained are presented as geometric means with deviation factor (Xg x DF±1).
The results clearly show that omitting data from 7 days gave the largest deviation in D/A administered compared to D/A administered from all time points, with a mean deviation by a factor of 1.1 (SD = 0.34) and a maximum deviation by a factor of 2.3 (Figure 6).
Table 3 presents the means, standard deviations, factor loadings and correlations between the construct measures in the full structural equation model.
mean deviation.
Real gas deviation factor.
Related(20)
mean bias factor
mean deviation points
mean deviation magnetization
mean risk factor
mean geometry factor
mean deviation dB
mean quality factor
mean weighting factor
mean impact factor
mean condition factor
mean amplification factor
mean correction factor
mean calibration factor
mean induction factor
mean effectiveness factor
mean localization factor
mean translocation factor
mean identification factor
mean orientation factor
mean emission factor
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