df_unite_factors(): Unite factor columns. First, order factors levels then merge them into one column. The output column is a factor. df_label_both(),df_label_value(): functions to label data frames rows by by
ggboxplot(df, x = "dose", y = "len", fill = "dose", palette = "lancet", alpha = 0.6) + stat_pvalue_manual(stat.test, label = "p.adj.signif", y.position = 35) + geom_hline(yintercept = mean(df$len), linetype = 2) 1. 2. 3. 方差分析 完全随机设计方差分析 使用课本例...
identify_outliers(): 使用boxplot鉴别离群值; mahalanobis_distance(): 计算Mahalanobi距离和离群点; shapiro_test() and mshapiro_test(): 正态性检验. 比较均值 t_test(): 单样本、配对样本、独立样本t检验; wilcox_test(): 单样本、配对样本、独立样本秩和检验; sign_test(): 符号检验; anova_test()...
R Boxplots - Learn how to create and customize boxplots in R with this tutorial. Discover the various functions and techniques to visualize your data effectively.
,anno_boxplot(),anno_density()和anno_histogram()。 # Define some graphics to display the distribution of columns .hist = anno_histogram(df, gp = gpar(fill = "lightblue")) .density = anno_density(df, type = "line", gp = gpar(col = "blue")) ...
mfcol,mfrow每张放几幅图,分别代表“multiple frames in rows” (mfrow) or “multiple frames in columns” (mfcol)。在同一设备上画多幅图,可以用par(mfrow), par (mfcol), par(layout), 和 par(fig), par(split.screen) ,但 par(mfrow) 最常见。par(mfrow) 两个参数,一个是图的行数,另一个是每...
main = "两因素多水平重复测量方差分析"))或者用箱线图展示结果：boxplot(hp ~ group*times, data ...
将热图与一些基本图形结合起来进行注释,利用anno_point(),anno_barplot(),anno_boxplot(),anno_density() 和 anno_histogram()。 # Define some graphics to display the distribution of columns .hist = anno_histogram(df, gp = gpar(fill = "lightblue")) .density = anno_density(df, type = "line"...
plot.caption = element_markdown(face ='bold',size = 12)) Example Of bayestestR::Highest Density Interval function 「样例二」:Support Interval result <- si(model) plot(result, support_only = TRUE) + scale_color_metro(palette ="ice") + ...
将热图与一些基本图形结合起来进行注释,利用anno_point(),anno_barplot(),anno_boxplot(),anno_density() 和 anno_histogram()。 # Define some graphics to display the distribution of columns .hist = anno_histogram(df, gp = gpar(fill = "lightblue")) ...