如何在表格视图colorRange <- c('#69091e', '#e37f65', 'white', '#aed2e6', '#042f60')
## colorRamp() returns a function which takes as an argument a number
## on [0,1] and returns a color in the gradient in colorRange
myColorRampFunc <- colorRamp(colorRange)
panel.cor <- function(w, z, ...) {
correlation <- cor(w, z)
## because the func needs [0,1] and cor gives [-1,1], we need to
## shift and scale it
col <- rgb( myColorRampFunc( (1+correlation)/2 )/255 )
## square it to avoid visual bias due to "area vs diameter"
radius <- sqrt(abs(correlation))
radians <- seq(0, 2*pi, len=50) # 50 is arbitrary
x <- radius * cos(radians)
y <- radius * sin(radians)
## make them full loops
x <- c(x, tail(x,n=1))
y <- c(y, tail(y,n=1))
## I trick the "don't create a new plot" thing by following the
## advice here: http://www.r-bloggers.com/multiple-y-axis-in-a-r-plot/
## This allows
par(new=TRUE)
plot(0, type='n', xlim=c(-1,1), ylim=c(-1,1), axes=FALSE, asp=1)
polygon(x, y, border=col, col=col)
}
pairs(mtcars, upper.panel=panel.cor)
中选择所选项目。
didSelectRowAtIndexPath答案 0 :(得分：0)
这将返回所选行的所有索引路径
tableView.indexPathsForSelectedRows