Question

我想根据每个因素具有多个因素和多个级别的数据创建一个格子盒图。

对于格子图中的每个图，我希望x轴是两个因子及其水平的组合，y轴是值。

下面我贴了一些示例数据，这些数据显示了我如何为因子创建格子图，但不是因子及其级别组合。我不想要3D情节，如果可能的话，我想使用箱形图。

library(plyr)
library(reshape2)
library(lattice)

col_t <- c("Factors","Levels",LETTERS[1:10])
data1 <-  rnorm(1000)
dm <- matrix(data1, nrow = 100, ncol = 10, byrow = TRUE)
    df <- data.frame(dm)

 facs <- c(rep("M",25),  rep("N",25),  rep("O",25), rep("P",25))
 levs <- c(rep(c("W","x","Y","Z"),25))   
    df <- cbind(facs,levs,df)
        colnames(df) <-  col_t

dfm <- melt(df, id.vars=c("Factors", "Levels"))
    head(dfm)

# Creates the Lattice plot where the rnorm data is on the y-axis and the A factors are 
# on the x-axis for every Variable in variable    
    All_Graph <- bwplot(value ~ Factors | variable,
                        data=dfm,
                        scales=list(relation="free",x=list(cex=1.1),y=list(cex=1.25)),
                        main= list("All Metric Values", cex=2.5),
                        xlab=list("Treatments", cex=2.5),
                        ylab=list("Metric Value", cex=2.5),
                        do.out = FALSE,
                        col="black",   
                        coef=4
    )
    trel_wid <- 960
    trellis.device(device="png", filename="All Var Plots.png", width= trel_wid, height= trel_wid*1.5)
    print(All_Graph)
    dev.off()  

# Now I'd like to create a plot of each level of each factor. Where the x-axis is A*B 
# and the y-axis is the rnorm data

    All_Graph <- bwplot(value ~ Factors*Levels | variable,
                        data=dfm,
                        scales=list(relation="free",x=list(cex=1.1),y=list(cex=1.25)),
                        main= list("All Metric Values", cex=2.5),
                        xlab=list("Treatments", cex=2.5),
                        ylab=list("Metric Value", cex=2.5),
                        do.out = FALSE,
                        col="black",   
                        coef=4
    )
    trel_wid <- 960
    trellis.device(device="png", filename="All Var+Lev Plots.png", width= trel_wid, height= trel_wid*1.5)
    print(All_Graph)
    dev.off()

任何建议都会有很大的帮助！

Answer 1

在约翰的帮助下，我到了下面。带有facet_wrap的ggplot是要走的路。它以这种方式快速且容易地进行多级晶格图形绘制。

library(plyr)
library(reshape2)
library(lattice)

col_t <- c("Factors","Levels",LETTERS[1:10])
data1 <-  rnorm(1000)
dm <- matrix(data1, nrow = 100, ncol = 10, byrow = TRUE)
    df <- data.frame(dm)

 facs <- c(rep("M",25),  rep("N",25),  rep("O",25), rep("P",25))
 levs <- c(rep(c("W","x","Y","Z"),25))   
    df <- cbind(facs,levs,df)
        colnames(df) <-  col_t

dfm <- melt(df, id.vars=c("Factors", "Levels"))
    head(dfm)


    sp <- ggplot(dfm, aes(x=Factors, y=value, fill=Levels)) + 
            geom_boxplot(coef=4, outlier.shape = NA, position = "dodge", alpha = 1, 
                     lwd = 1, fatten = 0.75) 

    sp + facet_wrap(~variable, ncol=3, scales="free")

Answer 2

使用格子你可以试试这个：

All_Graph <- bwplot(value ~ Factors : Levels | variable,     # use interaction
                    data=dfm,
                    scales=list(relation="free",x=list(cex=1.1),y=list(cex=1.25)),
                    main= list("All Metric Values", cex=2.5),
                    xlab=list("Treatments", cex=2.5),
                    ylab=list("Metric Value", cex=2.5),
                    do.out = FALSE,
                    col="black",   
                    coef=4
)
trel_wid <- 1500
trellis.device(device="png", filename="All Var+Lev Plots.png", width= trel_wid, height= trel_wid*1.5)
print(All_Graph)
dev.off()

带输出

R中的双因子点阵箱图

2 个答案: