我试图将多个tableGrob对象和ggplot对象组合成一个.png文件;我无法理解如何以允许我调整表格对象的填充和尺寸的方式编辑tableGrob主题参数。理想情况下,我希望它们位于4 * 1网格中,每个网格之间的填充最少。表对象的文本也应该是左对齐的。
我正在使用虚拟数据,我的输入数据集的每一行将用于创建自己的.png文件(下面的代码片段中包含两行以生成可重现的示例)。
我尝试使用此post作为示例,并根据"高度"设置grid.arrange间距。每个表对象的属性,但这还没有完成。作为旁注,现在,情节每次都会被覆盖;我稍后会解决这个问题,我只关心输出尺寸/排列是否正确。代码如下;编辑以包括库调用,并修复了错字:
require("ggplot2")
require("gridExtra")
require("grid")
# Generate dummy data frame
sampleVector <- c("1", "Amazing", "Awesome", "0.99", "0.75", "0.5", "$5,000.00", "0.55", "0.75", "0.31", "0.89", "0.25", "Strong community support", "Strong leadership", "Partners had experience", "", "CBO not supportive", "Limited experience", "Limited monitoring", "")
sampleVectorB <- c("3", "Amazing", "Awesome", "0.99", "0.75", "0.5", "$5,000.00", "0.55", "0.75", "0.31", "0.89", "0.25", "Strong community support", "Strong leadership", "Partners had experience", "", "CBO not supportive", "Limited experience", "Limited monitoring", "")
sampleDF <- data.frame(rbind(sampleVector, sampleVectorB))
colnames(sampleDF) <- c("CBO", "PMQ", "HMQ", "ER", "PR", "HR", "NS", "CTI", "Home and Hosp", "Home", "Phone", "Other", "S1", "S2", "S3", "S4", "C1", "C2", "C3", "C4")
indata <- sampleDF
#Finds the longest string from a vector of strings (i.e. #chars, incld. whitespace); returns index into this vector that corresponds to this string
findMax <- function(tempVector){
tempMaxIndex <- 1
for(i in 1:length(tempVector)){
print(nchar(tempVector[i]))
if(nchar(tempVector[i]) > nchar(tempVector[tempMaxIndex])){
tempMaxIndex <- i
}
}
return(tempMaxIndex)
}
# Same as above but w/o the colon:
addWhitespacePlain <- function(stringVec, maxNum){
for(i in 1:length(stringVec))
{
string <- stringVec[i]
while(nchar(string) < maxNum+1){
string <- paste(string, " ")
}
stringVec[i] <- string
}
return(stringVec)
}
staticText <- c("Participant Match Quality", "Hospital-Level Match Quality", "Enrollment Rate", "Participant Readmissions", "Hospital Readmissions", "Net Savings",
"Strengths", "Challenges")
m <- findMax(staticText)
staticText <- addWhitespacePlain(staticText, nchar(staticText[m]))
# Loop through our input data and keep only one CBO each pass
for(i in 1:length(indata$CBO)){
# Select only the row that has this CBO's data
temp <- indata[i,]
###############################################################################################
# MAKE TOP TEXT TABLE (as a DF)
# Get values from our input data set to fill in the values for the top text portion of the graphic
topVals <- t(data.frame(temp[2], temp[3], temp[4], temp[5], temp[6], temp[7]))
topDF <- data.frame(staticText[1:6], topVals, row.names=NULL)
colnames(topDF) <- c(paste("CBO", temp[1]), " ")
# Find which of the strings from the top text portion is the longest (i.e. max # of chars; including whitespace)
m2 <- findMax(rownames(topDF)) # returns an index into the vector; this index corresponds to string w/max num of chars
# Add whitespace to non-max strings so all have the same length and also include colons
rownames(topDF) <- addWhitespacePlain(rownames(topDF), nchar(rownames(topDF)[m2]))
# for testing
# print(topDF, right=FALSE)
###############################################################################################
# MAKE BAR CHART
#Subset the data to select the vars we need for the horizontal bar plot
graphdata <- t(data.frame(temp[,8:12]))
vars <- c("CTI", "Home & Hosp.", "Home", "Phone", "Other")
graphDF <- data.frame(vars, graphdata, row.names = NULL)
colnames(graphDF) <- c("vars", "values")
# Make the plot (ggplot object)
barGraph <- ggplot(graphDF, aes(x=vars, y=values,fill=factor(vars))) +
geom_bar(stat = "identity") +
theme(axis.title.y=element_blank())+
theme(legend.position="none")+
coord_flip()
# print(barGraph)
###############################################################################################
# MAKE BOTTOM TEXT TABLE
strengths <- t(data.frame(temp[13], temp[14], temp[15], temp[16]))
challenges <- t(data.frame(temp[17], temp[18], temp[19], temp[20]))
#Drop nulls
strengths <- data.frame(strengths[which(!is.na(strengths)),], row.names=NULL)
challenges <- data.frame(challenges[which(!is.na(challenges)),], row.names=NULL)
colnames(strengths) <- c(staticText[7])
colnames(challenges) <- c(staticText[8])
###############################################################################################
# OUTPUT (padding not resolved yet)
# Set the path for the combined image
png("test1", height=1500, width=1000)
#customTheme <- ttheme_minimal(core=list(fg_params=list(hjust=0, x=0.1)),
# rowhead=list(fg_params=list(hjust=0, x=0)))
# top<-tableGrob(topDF, theme=customTheme)
# bottom_strength <- tableGrob(strengths, theme=customTheme)
# bottom_challenges <- tableGrob(challenges, theme=customTheme)
top<-tableGrob(topDF)
bottom_strength <- tableGrob(strengths)
bottom_challenges <- tableGrob(challenges)
x <- sum(top$heights)
y <- sum(bottom_strength$heights)
z <- sum(bottom_challenges$heights)
grid.arrange(top, barGraph, bottom_strength, bottom_challenges,
as.table=TRUE,
heights=c(2, 1, 2, 2),
nrow = 4)
# heights= unit.c(x, unit(1), y, z))
dev.off()
}
答案 0 :(得分:8)
你的例子太复杂了,我不确定究竟是什么问题。以下4x1布局是零填充,是你之后的那个?
ta <- tableGrob(iris[1:4,1:2])
tb <- tableGrob(mtcars[1:3,1:3])
tc <- tableGrob(midwest[1:5,1:2])
p <- qplot(1,1) + theme(plot.background=element_rect(colour = "black"))
h <- unit.c(sum(ta$heights), unit(1,"null"), sum(tb$heights), sum(tc$heights))
grid.newpage()
grid.arrange(ta,p,tb,tc, heights=h)