一、quantile-quantile plots 的意思是分位数-分位数图/Q-Q图（参考DictALL词都）二、quantile plot 分位数图 例句The thought of quantile plot in data mining was promoted novelly to measure VaR for risk control and invest decision.提出了将数据挖掘中分位数图的思想应用于VaR测量的新方法...
1Quantile-QuantilePlotsAlsocalled QQplots NormalprobabilityplotsUses Checkwhetherdatacamefromnormaldistribution Suggesthowdataisd..
residual and quantile-quantile-plots.选择语言:从 到 翻译结果1翻译结果2 翻译结果3翻译结果4翻译结果5 翻译结果1复制译文编辑译文朗读译文返回顶部 残留和位数 - 分位数图。 翻译结果2复制译文编辑译文朗读译文返回顶部 正在翻译,请等待... 翻译结果3复制译文编辑译文朗读译文返回顶部 残余和分位数-分位数的...
For the interspecies comparison we made use of quantile-quantile (QQ)-plots of the variances of hexanucleotides or known functional CREs of core-promoter regions. Here, we suggest that the differences in promoter architecture correlate with the sizes of the intergenic space, i.e. regions, in ...
Quantile‐quantile (Q‐Q) plot. No evidence of systematic inflation of p-values was found (λ = 1.007). The plots compare additive model statistics to those expected under the null distribution using fixed‐effects for all analyzed imputed SNPs passing quality control criteria in the studies...
Quantile plots: New planks in an old campaign Nicholas J. Cox Department of Geography 1 Quantile plots Quantile plots show ordered values (raw data, estimates, residuals, whatever) against rank or cumulative probability or a one-to-one function of the same. Tied values are assigned distinct ...
How should we interpret these Q–Q plots? As noted before, if the two distributions are the same, then the Q–Q plot will show a straight line through the origin at 45°. The closer we are to this case, the closer the distributions are. However, in addition to this, certain shapes ...
有没有战友知道这个分析的？可以稍微解释下吗？不吝感谢！！
Quantile-quantile plots are most commonly used to compare the shapes of distributions, but they may also be used in conjunction with partial orders on distributions to compare the level and dispersion of distributions that have different shapes. We discuss several easily recognized patterns in ...
The R base functionsqqnorm() andqqplot() can be used to produce quantile-quantile plots: qqnorm(): produces a normal QQ plot of the variable qqline(): adds a reference line qqnorm(my_data$len, pch = 1, frame = FALSE) qqline(my_data$len, col = "steelblue", lwd = 2) ...