[R] tidyr gather(function)

[Patrick (Malone Quantitative)]

What happens if you use key=year?

Also, tables get mangled when you post in HTML to plain-text list.


On Mon, Jul 15, 2019 at 6:47 PM <reichmanj using sbcglobal.net> wrote:
>
> r-help
>
>
>
> Needing to transform some data for a time series (1930 - 2018).
>
>
>
> > tempDat
> # A tibble: 89 x 13
>     Year   Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov
> Dec
>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
> <dbl>
>  1  1930  52    60.3  60.6  72.2  71.7  86.8  91.3  89.7  82.3  70.4  60.2
> 52.2
>  2  1931  52.9  57.8  62.7  72.4  80.5  87    95.1  89.3  85.9  72.8  57.2
> 49.7
>  3  1932  47    56.8  61.9  69.3  77.2  84.7  91.9  92.1  87    71.5  62.9
> 49.3
>
> If I use the gather function:
>
>
>
> tempDat.long <- gather(data=tempDat, key=month, value=temp, "Jan", "Feb",
> "Mar",
>
>
> "Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec")
>
>
>
> > tempDat.long
> # A tibble: 1,068 x 3
>     Year month  temp
>    <dbl> <chr> <dbl>
>  1  1930 Jan    52
>  2  1931 Jan    52.9
>  3  1932 Jan    47
>  4  1933 Jan    48.8
>  5  1934 Jan    54.5
>
>
>
> But I need it to be
>
>
>
>     Year month  temp
>    <dbl> <chr> <dbl>
>  1  1930 Jan    xx.x
>  2  1930 Feb    xx.x
>  3  1930 Mar    xx.x
>  4  1930 Apr    xx.x
>  5  1930 May    xx.x
>
>
>
> So would I need to use the lubridate package to rearrange my data or is
> there a more straight forward method?
>
>
>
>
>
> Jeff Reichman
>
>
>         [[alternative HTML version deleted]]
>
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