Databases
StackOverflow2013
Postsdbo
POchanging variable values into new variables in r
 

Note that there are some explanatory texts on larger screens.

plurals
  1. POchanging variable values into new variables in r
    primarykey
    data
    text
    <p>I have a data set with about 600 animals with this structure:</p> <pre><code>anim &lt;- c(1,1,1,1,1,2,2,2,2) point &lt;- c(1,2,3,4,6,3,4,5,6) temp &lt;- c(38.8,38.5,33.2,33.5,37.2,36.2,36.5,36.0,37.8) mydf &lt;- data.frame(anim,point,temp) anim point temp 1 1 38.8 1 2 38.5 1 3 33.2 1 4 33.5 1 6 37.2 2 3 36.2 2 4 36.5 2 5 36.0 2 6 37.8 </code></pre> <p>The variable "point" contains different measuring points (temperature) on an animal and I need to have these measuring points (1,2,3,4,5,6) as new variables such that 1=bel,2=ber,3=le,4=re,5=ey,6=cr. Note, that some points may not appear or measured and therefore NA should be put in.</p> <p>mynewdf should look like this:</p> <pre><code>anim bel ber le re ey cr 1 38.8 38.5 33.2 33.5 NA 37.2 2 NA NA 36.2 36.5 36.0 37.8 </code></pre> <p>I hope that my question is clear enough and any help would be very much appreciated.</p> <h1>EDITED:</h1> <p>This is an extract from my actual data set:</p> <p>head(irpig,n=25)</p> <p>head(irpig,n=25) dam anim point temp 1 1A0331 20584 1 37.9 2 1A0331 20584 2 37.7 3 1A0331 20584 3 34.3 4 1A0331 20584 4 35.8 5 1A0331 20584 6 37.6 6 1A0331 20585 2 38.7 7 1A0331 20585 4 36.4 8 1A0331 20585 6 38.0 9 1A0331 20586 1 39.0 10 1A0331 20586 2 39.8 11 1A0331 20586 3 37.9 12 1A0331 20586 4 38.0 13 1A0331 20586 6 38.5 14 1A0331 20587 1 39.3 15 1A0331 20587 2 38.9 16 1A0331 20587 3 39.4 17 1A0331 20587 4 38.6 18 1A0331 20587 6 39.4 19 1A0331 20588 1 39.6 20 1A0331 20588 2 39.2 21 1A0331 20588 3 38.9 22 1A0331 20588 4 38.0 23 1A0331 20588 6 39.6 24 1A0331 20589 1 38.1 25 1A0331 20589 2 38.7</p> <p>Baz</p>
    singulars
    1. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. PTQuestion
    1. USbaz
    1. USbaz
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. PO
      singulars
      1. PTAnswer
    1. VO
      singulars
      1. POchanging variable values into new variables in r
      1. This table or related slice is empty.
      1. VTUpMod
    1. CO@Ramnath: It worked when I applied it to the subset of the first 25 animals which gave me this: mydf <- head(irpig,n=25) mydf$anim <- as.factor(mydf$anim) mydf$point <- as.factor(mydf$point) levels(mydf$point) =c("bel","ber","le","re","ey","cr") library(reshape2) dcast(mydf, anim ~ point) anim bel ber le re ey 1 20584 37.9 37.7 34.3 35.8 37.6 2 20585 NA 38.7 NA 36.4 38.0 3 20586 39.0 39.8 37.9 38.0 38.5 4 20587 39.3 38.9 39.4 38.6 39.4 5 20588 39.6 39.2 38.9 38.0 39.6 6 20589 38.1 38.7 NA NA NA
      singulars
      1. POchanging variable values into new variables in r
      1. USbaz
 

Querying!

 
Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

SQuiL has stopped working due to an internal error.

If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

Reload