contour2D()
函數默認情況下將軸縮放到0和1之間。要獲得不同的軸,您可以省略原始contour2D()
呼叫的軸,並使用axis()
與at
和labels
指定的值來添加軸。如果您使用cut()
中的factors
,則必須在繪圖之前將它們轉換爲數字值。我在下面提供了一個示例,其中生成數據,繪製它,然後在將因子轉換爲數值後調整軸標籤。如果沒有確切的數據格式,我不知道從數據中提取刻度標記標籤的最佳方法。
# library for plot
library(plot3D)
# setting seed and generating some data
set.seed(10)
#### storing data in matrix ####
datamatrix <- matrix(c(rnorm(500,-1,.4),rnorm(500,2,0.2),runif(500,-3,0),runif(500,0,3)),nrow=1000,ncol=2,byrow=F)
# locations of cuts
xcuts <- seq(min(datamatrix[,1]),max(datamatrix[,1]),length.out = 6)
ycuts <- seq(min(datamatrix[,2]),max(datamatrix[,2]),length.out = 6)
# calculating values for cutting
xvals <- cut(datamatrix[,1], xcuts)
yvals <- cut(datamatrix[,2], ycuts)
# initializing matrix to store count in each bin
z <- matrix(0,length(levels(yvals)),length(levels(xvals)))
for(i in 1:length(levels(xvals))){
for(j in 1:length(levels(yvals))){
z[j,i] <- length(intersect(which(xvals == levels(xvals)[i]),which(yvals == levels(yvals)[j])))
}
}
#### finding labels from factors cut ####
factsx <- levels(xvals) # factsx <- levels_pc2_cut # or something like that
xlabsFacts <- rep(NA,length(factsx))
for(i in 1:(length(factsx))){
comma_sep <- unlist(gregexpr(pattern =',',factsx[i])) # location of the comma in the factor
#taking section of text and converting to numbers
xlabsFacts[i] <- as.numeric(substr(factsx[i],2,comma_sep-1))
xlabsFacts[i+1] <- as.numeric(substr(factsx[i],comma_sep+1,nchar(factsx[i])-1))
}
factsy <- levels(yvals) # factsy <- levels_pc1_cut # or something like that
ylabsFacts <- rep(NA,length(factsy))
for(i in 1:(length(factsy))){
comma_sep <- unlist(gregexpr(pattern =',',factsy[i])) # location of the comma in the factor
#taking section of text and converting to numbers
ylabsFacts[i] <- as.numeric(substr(factsy[i],2,comma_sep-1))
ylabsFacts[i+1] <- as.numeric(substr(factsy[i],comma_sep+1,nchar(factsy[i])-1))
}
#### formatting plot ####
# contour plot without axes
contour2D(z
,yaxt='n' # no y axis ticks
,xaxt='n' # no x axis ticks
,ylab='y values' # y axis label
,xlab='x values' # x axis label
)
# adding x axis with tick marks
axis(side=1 # bottom
,at=seq(0,1,length.out = length(xlabsFacts)) # change 6 to number of tick marks you want
,labels=round(xlabsFacts,2) # change to labels for tick marks from your data
)
# adding x axis with tick marks
axis(side=2 # bottom
,at=seq(0,1,length.out = length(ylabsFacts)) # change 6 to number of tick marks you want
,labels=round(ylabsFacts,2) # change to labels for tick marks from your data
)
我設法省去從contour2D軸但是當我由>軸(添加x軸側= 1,在= SEQ(0,1,length.out = 9),標籤= round(pc2_cut,2)),我得到這個錯誤:Math.factor中出錯(c(10L,9L,10L,10L,10L,10L,10L,10L,11L,11L,'round')對於因素沒有意義。你知道爲什麼嗎?謝謝! – HYY
@HYY,檢查'class(pc_cut)'。如果它是一個''字符'',那麼'R'就把它當作一個字符串來處理。 (')'的位置,然後你可以在'labels'參數中使用這些參數,如果你不想這樣做,你可能不得不使用'substr()'來獲取數字部分,並且那麼'as.nu meric()'使它成爲一個可以四捨五入的值。如果不想舍入,可以使用'substr()',因爲標籤可以是字符串。 –
我查過了,這是因素。 – HYY