r - Reformatting data in order to plot 2D continuous heatmap -


i have data stored in data.frame plot continuous heat map. have tried using interp function akima package, data can large (2 million rows) avoid if possible takes long time. here format of data

l1 <- c(1,2,3) grid1 <- expand.grid(l1, l1) lprobdens <- c(0,2,4,2,8,10,4,8,2) df <- cbind(grid1, lprobdens) colnames(df) <- c("age1", "age2", "probdens")  age1   age2  probdens 1        1       0 2        1       2 3        1       4 1        2       2 2        2       8  3        2       10 1        3       4 2        3       8 3        3       2

i format in length(df$age1) x length(df$age2) matrix. gather once formatted in manner able use basic functions such image plot 2d histogram continuous heat map similar created using akima package. here how think transformed data should look. please correct me if wrong. 

    1    2    3 1   0    2    4 2   2    8    8 3   4    10   2

it seems though ldply can't seem sort out how works.

i forgot mention, $age information continuous , regular, such list age1 equal age2 age1 >= age2. guess means may classed continuous data stands , doesn't require interp function.

ok think want. matter of reshaping data reshape s 'cast function. value.var argument avoid warning message r tried guess value use. result not change if omit it.

library(reshape2) as.matrix(dcast(dat, age1 ~ age2, value.var = "probdens")[-1])      1  2 3 [1,] 0  2 4 [2,] 2  8 8 [3,] 4 10 2

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