Conversion between tidy table and named matrix

Source: R/tidymat.R

Convenient fucntions to implement conversion between tidy table and named matrix.

mat_df(m)

df_mat(df, row, col, value)

Arguments

m

A matrix

df

A data.frame with at least 3 columns, one for row name, one for column name, and one for values. The names for column and row should be unique.

row

Unquoted expression of column name for row

col

Unquoted expression of column name for column

value

Unquoted expression of column name for values

Value

For mat_df, a data.frame. For df_mat, a named matrix.

Examples


mm = matrix(c(1:8,NA),ncol = 3,dimnames = list(letters[1:3],LETTERS[1:3]))
mm
#>   A B  C
#> a 1 4  7
#> b 2 5  8
#> c 3 6 NA
tdf = mat_df(mm)
tdf
#>   row col value
#> 1   a   A     1
#> 2   b   A     2
#> 3   c   A     3
#> 4   a   B     4
#> 5   b   B     5
#> 6   c   B     6
#> 7   a   C     7
#> 8   b   C     8
#> 9   c   C    NA
mat = df_mat(tdf,row,col,value)
setequal(mm,mat)
#> [1] TRUE

tdf %>%
  setNames(c("A","B","C")) %>%
  df_mat(A,B,C)
#>   A B  C
#> a 1 4  7
#> b 2 5  8
#> c 3 6 NA