Databases
StackOverflow2013
Postsdbo
POPaste together two data frames element by element in R
 

Note that there are some explanatory texts on larger screens.

plurals
  1. POPaste together two data frames element by element in R
    primarykey
    data
    text
    <p>I need to paste, element by element, the contents of two data frames for input to another program. I have a data frame of means and a data frame of standard errors of the mean. </p> <p>I tried using the R paste() function, but it doesn't seem to be able to cope with data frames. When using a vector, it seems to concatenate all the elements of the first vector into a string and all the elements of the second into a separate string. Instead, I need each reciprocal element in the two data frames to be concatenated together.</p> <p>Any suggestions for how to approach this? I've included dummy input data (datMean and datSE) and my desired output (datNew). My real data frames are about 10 rows by 150 columns in size.</p> <pre><code># means and SEM datMean &lt;- data.frame(a=rnorm(10, 3), b=rnorm(10, 3), d=rnorm(10, 3)) datSE &lt;- data.frame(a=rnorm(10, 3)/100, b=rnorm(10, 3)/100, d=rnorm(10, 3)/100) # what the output should look like # i've chosen some arbitrary values here, and show only the first row. datNew &lt;- data.frame(a="2.889-2.926", b="1.342-1.389", d="2.569-2.576") </code></pre> <p>The idea is for each element in datNew to be a range consisting of 'mean - se' and 'mean + se', separated by a dash '-' . The paste() function can do this for one element, how to do this over the whole dataframe?</p> <pre><code>paste(datMean[1,1] - datSE[1,1], datMean[1,1] + datSE[1,1], sep="-") </code></pre> <p>EDIT 1: Looking at some of the answers I realize I left out an important bit of information in the question. Each row of the original data frames is named, and I need to reconstitute the final data frame with these names. For example:</p> <pre><code>rownames(datMean) &lt;- LETTERS[1:10] rownames(datSE) &lt;- LETTERS[1:10] </code></pre> <p>I need datNew to eventually have these 10 rownames again. This could be problematic with some of the solutions using melt().</p>
    singulars
    1. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. PTQuestion
    1. USSteve
    1. USSteve
    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
    2. PO
      singulars
      1. PTAnswer
    3. PO
      singulars
      1. PTAnswer
    1. VO
      singulars
      1. POPaste together two data frames element by element in R
      1. This table or related slice is empty.
      1. VTUpMod
    2. VO
      singulars
      1. POPaste together two data frames element by element in R
      1. This table or related slice is empty.
      1. VTUpMod
    3. VO
      singulars
      1. POPaste together two data frames element by element in R
      1. USRNA
      1. VTFavorite
    1. This table or related slice is empty.
 

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