Databases
StackOverflow2013
Postsdbo
PO
 

Note that there are some explanatory texts on larger screens.

plurals
  1. PO
    primarykey
    data
    text
    <h3>The "straight forward way"</h3> <p>Maybe you should save all your logical vectors in a data.frame or matrix before the loop:</p> <pre><code>selections &lt;- matrix(nrow = nrow(df), ncol = 4) selections[,1] &lt;- df$Test_11 == "A" selections[,2] &lt;- df$Test_11 == "B" selections[,3] &lt;- df$Test_12 == "A" selections[,4] &lt;- df$Test_12 == "B" # etc... par(mfcol = c(2, 2)) # here you should customize at will... for (i in 1:4) { z &lt;- subset(df, selections[,i]) plot(z$LVL11, z$Score_X_11, varwidth = TRUE, notch = TRUE, xlab = 'LVL', ylab = 'score') } </code></pre> <p>You can change your code so instead of using <code>z$Score_X_11</code>, use <code>z[,string]</code>. The value of <code>string</code> should be constructed with <code>paste</code> (or other string manipulating functions). For example:</p> <pre><code>v &lt;- c("X", "Y") n &lt;- c("11", "12") for (i in 1:2) { for (j in 1:2) { string &lt;- paste("Score", v[i], n[i], sep = "_") print(string) } } </code></pre> <p>A similar reasoning would be used with the <code>z$LVLXX</code> values, so you should be able to figure out a way to accommodate for that.</p> <h3>Alternative way, with ggplot2 &amp; reshape2</h3> <p>I'm not very experienced with using trellis graphics (like in the other anwser), but I know a little ggplot2, so I decided to take the challenge and try a bit. It is not great, but at least works:</p> <pre><code># df &lt;- read.table("data.txt", header = TRUE, na.string = "NA") require(reshape2) require(ggplot2) # Melt your data.frame, using the scores as the "values": mdf &lt;- melt(df[,-1], id = c("LVL11", "LV12", "Test_11", "Test_12")) # loop through level types: for (lvl in c("LVL11", "LV12")) { # looping through values of test11 for (test11 in c("A", "B")) { # Note the use of subset before ggplot p &lt;- ggplot(subset(mdf, Test_11 == test11), aes_string(x=lvl, y="value")) # I added the geom_jitter as in the example given there were only a few points g &lt;- p + geom_boxplot(aes(fill = variable)) + geom_jitter(aes(shape = variable)) print(g) # it is necessary to print p explicitly like this in order to use ggplot in a loop # Finally, save each plot with a relevant name: savePlot(paste0(lvl, "-t11", test11, ".png")) # (note that savePlot has some problems with RStudio iirc) } # Same as before, but with test_12 for (test12 in c("A", "B")) { p &lt;- ggplot(subset(mdf, Test_12 == test12), aes_string(x=lvl, y="value")) g &lt;- p + geom_boxplot(aes(fill = variable)) + geom_jitter(aes(shape = variable)) print(g) savePlot(paste0(lvl, "-t12", test12, ".png")) } } </code></pre> <p>If anyone knows how to use trellis graphics or maybe <code>facet_grid</code> in this case, so I can put all grahpics in one image, I would love to hear how.</p> <p>cheers.</p>
    singulars
    1. This table or related slice is empty.
    1. POIn R, how to use for loop to create series of graphs
      singulars
      1. PTQuestion
    1. PTAnswer
    1. USJuan
    1. USJuan
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. POIn R, how to use for loop to create series of graphs
      singulars
      1. PTQuestion
    1. This table or related slice is empty.
    1. VO
      singulars
      1. PO
      1. This table or related slice is empty.
      1. VTAcceptedByOriginator
    1. COI couldn't run this example as I don't think that the df you posted is complete, and at the last `z` the plot gives me an error (but the first 3 are ploted ok).
      singulars
      1. PO
      1. USJuan
    2. COcan you explain the rationale behind df$Test_11 == "A" & df$Test_12 == "A"?
      singulars
      1. PO
      1. USn8sty
    3. COMaybe that's a mistake on my part... I was just trying to separate the cases to the four possible combinations of `Test_11` and `Test_12` (A & A, A & B, B & A and B & B). Anyway, you might want to erase everything after the `&` in my code, but only you can know that.
      singulars
      1. PO
      1. USJuan
 

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