Create dataframe from a matrix

Question

How to get a data frame with the same data as an already existing matrix has?

A simplified example of my matrix:

mat <- matrix(c(0, 0.5, 1, 0.1, 0         


        

Answer 1

You can use stack from the base package. But, you need first to coerce your matrix to a data.frame and to reorder the columns once the data is stacked.

mat <- as.data.frame(mat)
res <- data.frame(time= mat$time,stack(mat,select=-time))
res[,c(3,1,2)]

  ind time values
1 C_0  0.0    0.1
2 C_0  0.5    0.2
3 C_0  1.0    0.3
4 C_1  0.0    0.3
5 C_1  0.5    0.4
6 C_1  1.0    0.5

Note that stack is generally more efficient than the reshape2 package.

Answer 2

I've found the following "cheat" to work very neatly and error-free

> dimnames <- list(time=c(0, 0.5, 1), name=c("C_0", "C_1"))
> mat <- matrix(data, ncol=2, nrow=3, dimnames=dimnames)
> head(mat, 2) #this returns the number of rows indicated in a data frame format
> df <- data.frame(head(mat, 2)) #"data.frame" might not be necessary

Et voila!

Answer 3

Using dplyr and tidyr:

library(dplyr)
library(tidyr)

df <- as_data_frame(mat) %>%      # convert the matrix to a data frame
  gather(name, val, C_0:C_1) %>%  # convert the data frame from wide to long
  select(name, time, val)         # reorder the columns

df
# A tibble: 6 x 3
   name  time   val
  <chr> <dbl> <dbl>
1   C_0   0.0   0.1
2   C_0   0.5   0.2
3   C_0   1.0   0.3
4   C_1   0.0   0.3
5   C_1   0.5   0.4
6   C_1   1.0   0.5

Answer 4

melt() from the reshape2 package gets you close ...

library(reshape2)
(res <- melt(as.data.frame(mat), id="time"))
#   time variable value
# 1  0.0      C_0   0.1
# 2  0.5      C_0   0.2
# 3  1.0      C_0   0.3
# 4  0.0      C_1   0.3
# 5  0.5      C_1   0.4
# 6  1.0      C_1   0.5

... although you may want to post-process its results to get your preferred column names and ordering.

setNames(res[c("variable", "time", "value")], c("name", "time", "val"))
#   name time val
# 1  C_0  0.0 0.1
# 2  C_0  0.5 0.2
# 3  C_0  1.0 0.3
# 4  C_1  0.0 0.3
# 5  C_1  0.5 0.4
# 6  C_1  1.0 0.5

Answer 5

If you change your time column into row names, then you can use as.data.frame(as.table(mat)) for simple cases like this.

Example:

data <- c(0.1, 0.2, 0.3, 0.3, 0.4, 0.5)
dimnames <- list(time=c(0, 0.5, 1), name=c("C_0", "C_1"))
mat <- matrix(data, ncol=2, nrow=3, dimnames=dimnames)
as.data.frame(as.table(mat))
  time name Freq
1    0  C_0  0.1
2  0.5  C_0  0.2
3    1  C_0  0.3
4    0  C_1  0.3
5  0.5  C_1  0.4
6    1  C_1  0.5

In this case time and name are both factors. You may want to convert time back to numeric, or it may not matter.