Answers.Body: <p>It's worth learning how to use <code>dplyr</code> for this sort of thing:</p>
  <pre><code>dat %&gt;% 
      dplyr::group_by(SampleID) %&gt;% 
      dplyr::summarise(sample_mean = mean(X.1))
  </code></pre>
  <pre><code># A tibble: 4 x 2
    SampleID          sample_mean
    &lt;chr&gt;                   &lt;dbl&gt;
  1 LP6008460-DNA_A04   0.0000416
  2 s15                 0.0000319
  3 s30                 0.0000449
  4 s67                 0.0000288
  </code></pre>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-12-05T19:36:00.233Z
Answers.Text: Sorry for each sample should be sum not mean
Answers.UserDisplayName: Zizogolu
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Answers.CreationDate: 2020-12-05T20:50:47.577Z
Answers.Text: I think you can make that tiny change yourself, @Exhausted
Answers.UserDisplayName: Ram RS
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Answers.CreationDate: 2020-12-05T21:06:21.090Z
Answers.Text: Thank you @RamRS I replaced mean with sum myself but did not make sense
Answers.UserDisplayName: Zizogolu
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Answers.CreationDate: 2020-12-05T22:59:15.747Z
Answers.Text: What do you mean by "did not make sense"?
Answers.UserDisplayName: Ram RS
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Answers.CreationDate: 2020-12-05T14:37:05.723Z
Answers.LastActivityDate: 2020-12-05T14:37:05.723Z
Answers.UserDisplayName: user438383
Body: <p>I have a dataframe with 27 samples and for each of them I have different number of values</p>
  <p>I want to sum up the values for each sample, leaving each sample with a single value</p>
  <pre><code>&gt; dput(d[1:10,c(1,8)])
  structure(list(SampleID = c(&quot;LP6008460-DNA_A04&quot;, &quot;LP6008460-DNA_A04&quot;, 
  &quot;s30&quot;, &quot;s30&quot;, &quot;s67&quot;, &quot;s15&quot;, &quot;s67&quot;, &quot;s67&quot;, &quot;s67&quot;, &quot;s30&quot;), X.1 = c(8.17407e-05, 
  1.40067e-06, 3.86017e-05, 9.50247e-05, 7.08333e-07, 3.19133e-05, 
  3.1602e-05, 5.00513e-05, 3.29613e-05, 1.003e-06)), row.names = c(NA, 
  10L), class = &quot;data.frame&quot;)
  &gt; 
  </code></pre>
  <p>I started to do that manually but that was a pain and inaccurate</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-12-05T14:38:10.377Z
Comments.Text: I have answered this question, but it seems to be more suitable for stack overflow since it's just a programming question without any bioinformatics in. And it's also best to at least pretend you've made an effort to answer the question before, since this is a very common question and already has many answers.
Comments.UserDisplayName: user438383
Tags: <r>
Title: Summing up one column entries for each sample
ThreadText: # Summing up one column entries for each sample
  
  (Asked by: username_0 on 2020-12-05)
  
  I have a dataframe with 27 samples and for each of them I have different number of values
  
  I want to sum up the values for each sample, leaving each sample with a single value
  
  ```
  > dput(d[1:10,c(1,8)])
  structure(list(SampleID = c("LP6008460-DNA_A04", "LP6008460-DNA_A04", 
  "s30", "s30", "s67", "s15", "s67", "s67", "s67", "s30"), X.1 = c(8.17407e-05, 
  1.40067e-06, 3.86017e-05, 9.50247e-05, 7.08333e-07, 3.19133e-05, 
  3.1602e-05, 5.00513e-05, 3.29613e-05, 1.003e-06)), row.names = c(NA, 
  10L), class = "data.frame")
  > 
  
  ```
  
  I started to do that manually but that was a pain and inaccurate
  
  **Tags:** r
  
  > **Comments:**
  > **username_1**: I have answered this question, but it seems to be more suitable for stack overflow since it's just a programming question without any bioinformatics in. And it's also best to at least pretend you've made an effort to answer the question before, since this is a very common question and already has many answers.  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2020-12-05. Score: 2
  
  It's worth learning how to use `dplyr` for this sort of thing:
  
  ```
  dat %>% 
      dplyr::group_by(SampleID) %>% 
      dplyr::summarise(sample_mean = mean(X.1))
  
  ```
  
  ```
  # A tibble: 4 x 2
    SampleID          sample_mean
    <chr>                   <dbl>
  1 LP6008460-DNA_A04   0.0000416
  2 s15                 0.0000319
  3 s30                 0.0000449
  4 s67                 0.0000288
  
  ```
  
  > **Comments:**
  > **username_0**: Sorry for each sample should be sum not mean  
  > **username_2**: I think you can make that tiny change yourself, @Exhausted  
  > **username_0**: Thank you @username_2 I replaced mean with sum myself but did not make sense  
  > **username_2**: What do you mean by "did not make sense"?  
  
  ---
  
  