How to convert a dataframe to a matrix in R -


i want transfer named vector matrix , fill missing values (fill 0s).

for example, have dataframe this:

col1     col2    col3 cancer1  gene1   2.1 cancer1  gene2   2.51 cancer1  gene3   3.0 cancer2  gene1   0.9

which has 2 columns of names: col1 , col2. want transform matrix, like:

        cancer1   cancer2 gene1   2.1       0.9 gene2   2.51      0 gene3   3.0       0

if there missing values in vector, fill 0s.

how can efficiently in r?

you can use tidyr package:

tidyr::spread(mydata, col1, col3, fill = 0)  #    col2 cancer1 cancer2  # 1 gene1    2.10     0.9  # 2 gene2    2.51     0.0  # 3 gene3    3.00     0.0

data:

mydata <- structure(list(col1 = structure(c(1l, 1l, 1l, 2l), .label = c("cancer1",  "cancer2"), class = "factor"), col2 = structure(c(1l, 2l, 3l,  1l), .label = c("gene1", "gene2", "gene3"), class = "factor"),  col3 = c(2.1, 2.51, 3, 0.9)), .names = c("col1", "col2",  "col3"), class = "data.frame", row.names = c(na, -4l))

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