convert csv into sav- haven problem

[mj.witters]

Hello everyone,

I want to convert a csv data file into a sav file by using the haven package (write_sav( data, path, compress = FALSE).
But I keep getting the error „write_sav_(data, normalizePath (path, mustWork= FALSE), compress = compress)“

Sometime I get an sav file, which then contains no data (0 bytes).
Is there any other way to convert it?

Thanks in advanced!!

[technocrat]

Hi, and welcome!

A reproducible example, called a reprex will attract more useful answers.

All I can suggest is that you check your code against the help(write_save) example:

library(haven)
path <- system.file("examples", "iris.sav", package = "haven")
read_sav(path)
#> # A tibble: 150 x 5
#>    Sepal.Length Sepal.Width Petal.Length Petal.Width    Species
#>           <dbl>       <dbl>        <dbl>       <dbl>  <dbl+lbl>
#>  1          5.1         3.5          1.4         0.2 1 [setosa]
#>  2          4.9         3            1.4         0.2 1 [setosa]
#>  3          4.7         3.2          1.3         0.2 1 [setosa]
#>  4          4.6         3.1          1.5         0.2 1 [setosa]
#>  5          5           3.6          1.4         0.2 1 [setosa]
#>  6          5.4         3.9          1.7         0.4 1 [setosa]
#>  7          4.6         3.4          1.4         0.3 1 [setosa]
#>  8          5           3.4          1.5         0.2 1 [setosa]
#>  9          4.4         2.9          1.4         0.2 1 [setosa]
#> 10          4.9         3.1          1.5         0.1 1 [setosa]
#> # … with 140 more rows

tmp <- tempfile(fileext = ".sav")
write_sav(mtcars, tmp)
read_sav(tmp)
#> # A tibble: 32 x 11
#>      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
#>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4
#>  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4
#>  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1
#>  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1
#>  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2
#>  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1
#>  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4
#>  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2
#>  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2
#> 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4
#> # … with 22 more rows

^{Created on 2019-12-14 by the reprex package (v0.3.0)}