我正在创建一个坐标列表，供ggplot应用程序中的Shiny使用。但是，我可以选择的可能文件中的列名称是不同的。有些数据集包含mock.coords中的所有内容，有些则不包括。
例如，当我没有Spot11时，以下代码有效，但是一旦我添加Spot11，它就告诉我Error: undefined columns selected。如果我没有在我Spot11中选择的数据集中显示selectInput，是否可以不包含Position9，以避免此错误？
我还尝试删除Error: arguments imply differing number of rows: 0, 1，例如收到了library(grid)
library(ggplot2)
library(gridExtra)
sensor.data <- read.csv("C:/dataset")
# Create position -> coord conversion
pos.names <- names(sensor.data)[ grep("*Pos",names(sensor.data)) ]
# pos.names gets all column names with pos in it.
# Get column names with "Pos" in them
mock.coords <- list ("Position1"=data.frame("x"=0.1,"y"=0.2),
"Position2"=data.frame("x"=0.2,"y"=0.4),
"Position3"=data.frame("x"=0.3,"y"=0.6),
"Position4"=data.frame("x"=0.4,"y"=0.65),
"Position5"=data.frame("x"=0.5,"y"=0.75),
"Position6"=data.frame("x"=0.6,"y"=0.6),
"Position7"=data.frame("x"=0.7,"y"=0.6),
"Position8"=data.frame("x"=0.8,"y"=0.43),
"Position8.1"=data.frame("x"=0.85,"y"=0.49),
"Position9"=data.frame("x"=0.9,"y"=0.27),
"Position10"=data.frame("x"=0.75,"y"=0.12))
# Change format of your data matrix
df.l <- list()
cnt <- 1
for (i in 1:nrow(sensor.data)){
for (j in 1:length(pos.names)){
name <- pos.names[j]
curr.coords <- mock.coords[[name]]
df.l[[cnt]] <- data.frame("x.pos"=curr.coords$x,
"y.pos"=curr.coords$y,
"heat" =sensor.data[i,j])
cnt <- cnt + 1
}
}
df <- do.call(rbind, df.l)
# Load image
library(jpeg)
img <- readJPEG("any_imagecan_go_here")
g <- rasterGrob(img, interpolate=TRUE,width=1,height=1)
# Manually set number of rows and columns in the matrix containing max of heat for each square in grid
nrows <- 50
ncols <- 50
# Define image coordinate ranges
x.range <- c(0,1) # x-coord range
y.range <- c(0,1) # x-coord range
x.bounds <- seq(from=min(x.range),to=max(x.range),length.out = ncols + 1)
y.bounds <- seq(from=min(y.range),to=max(y.range),length.out = nrows + 1)
# Create matrix and set all entries to 0
heat.max.dat <<- matrix(nrow=nrows,ncol=ncols)
lapply(1:length(mock.coords), function(i){
c <- mock.coords[[i]]
# calculate where in matrix this fits
x <- c$x; y <- c$y
x.ind <- findInterval(x, x.bounds)
y.ind <- findInterval(y, y.bounds)
heat.max.dat[x.ind,y.ind] <<- max(sensor.data[names(mock.coords)[i]])
})
heat.max.dat[is.na(heat.max.dat)]<-0
require(fields)
# Look at the image plots to see how the smoothing works
#image(heat.max.dat)
h.mat.interp <- image.smooth(heat.max.dat)
#image(h.mat.interp$z)
mat <- h.mat.interp$z
require(reshape2)
m.dat <- melt(mat)
# Change to propper coors, image is assumed to have coors between 0-1
m.dat$Var1 <- seq(from=min(x.range),to=max(x.range),length.out=ncols)[m.dat$Var1]
m.dat$Var2 <- seq(from=min(y.range),to=max(y.range),length.out=ncols)[m.dat$Var2]
# Show where max temperature is
heat.dat <- sensor.data[pos.names]
# Get max for each position
max.df <- apply(heat.dat,2,max)
dat.max.l <- lapply(1:length(max.df), function(i){
h.val <- max.df[i]
c.name <- names(h.val)
c.coords <- mock.coords[[c.name]]
data.frame("x.pos"=c.coords$x, "y.pos"=c.coords$y,"heat"=h.val)
})
dat.max <- do.call(rbind,dat.max.l)
coords <- data.frame("x"=c(0,1),"y"=c(0,1))
coords2 <- do.call(rbind, mock.coords)
coords2$labels <- names(mock.coords)
ggplot(data=coords,aes(x=x,y=y)) + annotation_custom(g, xmin=-Inf, xmax=Inf, ymin=-Inf, ymax=Inf) + geom_raster(data=m.dat,aes(x=Var1,y=Var2,fill=value), interpolate = TRUE, alpha=0.5) + scale_fill_gradientn(colours = rev( rainbow(3) ),guide=FALSE) + geom_text(data=coords2,aes(x=x,y=y,label=labels),vjust=-1,color="white",size=5) + geom_text(data=dat.max,aes(x=x.pos,y=y.pos,label=round(heat,3)),vjust=0,color="white",size=5) + scale_x_continuous(expand=c(0,0)) + scale_y_continuous(expand=c(0,0)) +
ggtitle("Heatmap") + theme(plot.title = element_text(lineheight=0.8, face="bold"))
。试图避免这种情况，而不是让它如此静止。
可在此处找到数据集：https://docs.google.com/spreadsheets/d/11I19uQyND7YehKrYd-NPiib4bQSHmHmWENFvausigvU/edit
Position9 更新
当我进入我的Shiny应用程序并附加heatmap.R时出现问题。当我使用修改过的heatmap.R时，我的Shiny应用程序会出现我所描述的错误。如果我将Spot9更改为Spot9，SET $str = COALESCE($str, '');的文字仍会显示，但没有任何数据。如果文本不在所选的数据集中，我不希望文本显示出来。