Are there alternative r base functions to pivot_wider?

user_15969268 0
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I have the follow type of table:

SEZ Class Val
1_1_1 1 2
1_1_1 5 2
1_1_2 5 2
1_1_3 1 1
1_1_3 5 2
1_1_4 1 1
1_1_5 2 1
1_2_1 1 2
1_2_1 5 2

In order to spread column "Class" in multiple new columns getting value from "Val" column I used pivot_wider and everything gone well. I entered this code:

pivot_wider(names_from = Class, values_from = Val, names_sort=T, values_fill = list(n = 0))

obataining a result like this:

Sez 1 2 3 4 5 6 7
1_1_1 2 0 0 0 2 0 0
1_1_2 0 0 0 0 2 0 0
1_1_3 1 0 0 0 2 0 0

Unfortunately I have to use an external computer where only the basic R packages are present, and the times for requesting additional packages are not short.

I tried to use this solution:

newdata <- xtabs(dat$Val ~ dat$Sez + dat$Class)

But it gives me a frequency distribution with each row:

SEZ Class Freq
1_1_1 1 2
1_1_2 1 0
1_1_3 1 1
1_1_4 1 1
1_1_5 1 0
1_2_1 1 1

I'm looking for a solution with the basic function of R that gives me an object equal to the one got using with pivot_wider.

pivot r
2 Answers

We create the 'Class' as factor and use xtabs

df1$Class <- factor(df1$Class, levels = 1:7)

 xtabs(Val ~ SEZ + Class, df1)

-output

      Class
SEZ     1 2 3 4 5 6 7
  1_1_1 2 0 0 0 2 0 0
  1_1_2 0 0 0 0 2 0 0
  1_1_3 1 0 0 0 2 0 0
  1_1_4 1 0 0 0 0 0 0
  1_1_5 0 1 0 0 0 0 0
  1_2_1 2 0 0 0 2 0 0

If we need a data.frame output

out <- as.data.frame.matrix( xtabs(Val ~ SEZ + Class, df1))
out$SEZ <- row.names(out)
row.names(out) <- NULL

data

df1 <- structure(list(SEZ = c("1_1_1", "1_1_1", "1_1_2", "1_1_3", "1_1_3", 
"1_1_4", "1_1_5", "1_2_1", "1_2_1"), Class = c(1L, 5L, 5L, 1L, 
5L, 1L, 2L, 1L, 5L), Val = c(2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 
2L)), row.names = c(NA, -9L), class = "data.frame")
user_37322710

Another base R option using reshape + merge

reshape(
  merge(df,
    expand.grid(
      SEZ = unique(df$SEZ),
      Class = 1:7
    ),
    all = TRUE
  ),
  direction = "wide",
  idvar = "SEZ",
  timevar = "Class"
)

gives

     SEZ Val.1 Val.2 Val.3 Val.4 Val.5 Val.6 Val.7
1  1_1_1     2    NA    NA    NA     2    NA    NA
8  1_1_2    NA    NA    NA    NA     2    NA    NA
15 1_1_3     1    NA    NA    NA     2    NA    NA
22 1_1_4     1    NA    NA    NA    NA    NA    NA
29 1_1_5    NA     1    NA    NA    NA    NA    NA
36 1_2_1     2    NA    NA    NA     2    NA    NA
user_121587570
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