Signif. codes包括那些东西
时间: 2023-11-20 18:06:29 浏览: 47
Signif. codes一般指在统计分析中用于表示p值的符号,常见的符号包括:
* ***表示p值小于0.001
* **表示p值小于0.01
* *表示p值小于0.05
* .表示p值小于0.1
这些符号通常会跟在研究结果的数字后面,用于表示该结果在统计学上的显著性。例如,一个p值为0.002的结果可能会被标记为***,而一个p值为0.08的结果可能会被标记为.。
相关问题
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1这个反映了什么
Signif. codes是一种常用的统计学术语,用于统计结果的显著性水平。它通常在统计分析的结果中显示用于指示不同的显著性水平。
在给出的例子中,不同的符号代表了不同的显著性水平。具体解释如下:
- ‘***’表示非常显著,通常对应p值小于0.001。
- ‘**’表示显著,通常对应p值小于0.01。
- ‘*’表示较为显著,通常对应p值小于0.05。
- ‘.’表示稍显显著,通常对应p值小于0.1。
- ‘ ’表示不显著,通常对应p值大于等于0.1。
这些符号的使用可以帮助研究人员和读者快速了解统计结果的显著性水平。通过观察符号,我们可以判断某个变量或因素是否对研究结果产生了显著影响。
Parametric coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.52314 0.01395 37.5 <2e-16 *** --- Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1 Approximate significance of smooth terms: edf Ref.df F p-value s(X1) 1.976 1.999 11.034 0.000196 *** s(X2) 1.000 1.000 22.669 3.73e-05 *** s(X3) 1.434 1.670 2.187 0.097375 . s(X4) 1.000 1.000 17.832 0.000178 *** s(X5) 1.875 1.974 6.487 0.007730 ** --- Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1 R-sq.(adj) = 0.943 Deviance explained = 95.4% GCV = 0.01 Scale est. = 0.0079798 n = 41解释下
This output is from a generalized linear model (GLM) with smooth terms included. The "Parametric coefficients" section shows the estimated coefficients for the intercept and any predictor variables that were included as parametric terms. The "Approximate significance of smooth terms" section shows the estimated degrees of freedom (edf), reference degrees of freedom (Ref.df), F-statistic, and p-value for each smooth term included in the model. The "Signif. codes" indicate the level of significance for each term. The "R-sq.(adj)" is the adjusted R-squared value, which indicates the proportion of variance explained by the model after adjusting for the number of predictors included. The "Deviance explained" is the percentage of deviance in the response variable that is explained by the model. The "GCV" is the generalized cross-validation score, which is a measure of predictive accuracy. The "Scale est." is the estimated scale parameter for the model, which represents the variability of the response variable that is not explained by the predictors. The "n" is the sample size.
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