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    <p>Use <code>rbind</code> and <code>colMeans</code> as in:</p> <pre><code>&gt; rbind(tbl_mut, colMeans=colMeans(tbl_mut)) timetE4_1 timetE1_2 timetE2_2 timetE3_2 timetE4_2 eve_mean mor_mean tot_mean 1 4048.605 59094.48 27675.59 26374.06 43310.01 7774.442 39113.53 23443.99 2 45729.986 139889.21 111309.64 129781.17 96924.62 43374.117 119476.16 81425.14 3 639686.154 1764684.16 1117027.29 1147967.45 1156442.48 585562.724 1296530.34 941046.53 4 4466.153 26250.32 20320.08 18413.54 29061.25 3866.547 23511.30 13688.92 colMeans 173482.724 497479.54 319083.15 330634.05 331434.59 160144.458 369657.83 264901.15 </code></pre> <p><strong>EDIT</strong></p> <p>Suppose your data is called <code>df</code> and looks like this:</p> <pre><code>&gt; df Description timetE4_1 timetE1_2 timetE2_2 timetE3_2 timetE4_2 eve_mean mor_mean tot_mean 1 A 4048.605 59094.48 27675.59 26374.06 43310.01 7774.442 39113.53 23443.99 2 B 45729.986 139889.21 111309.64 129781.17 96924.62 43374.117 119476.16 81425.14 3 C 639686.154 1764684.16 1117027.29 1147967.45 1156442.48 585562.724 1296530.34 941046.53 4 D 4466.153 26250.32 20320.08 18413.54 29061.25 3866.547 23511.30 13688.92 </code></pre> <p>where <code>Description</code> is factor variable, then you can do the following to obtain the colmeans.</p> <pre><code>&gt; suppressWarnings(rbind(df, colMeans=colMeans(df[, sapply(df, is.numeric)]))) Description timetE4_1 timetE1_2 timetE2_2 timetE3_2 timetE4_2 eve_mean mor_mean tot_mean 1 A 4048.605 59094.48 27675.59 26374.06 43310.01 7774.442 39113.53 23443.99 2 B 45729.986 139889.21 111309.64 129781.17 96924.62 43374.117 119476.16 81425.14 3 C 639686.154 1764684.16 1117027.29 1147967.45 1156442.48 585562.724 1296530.34 941046.53 4 D 4466.153 26250.32 20320.08 18413.54 29061.25 3866.547 23511.30 13688.92 colMeans &lt;NA&gt; 497479.542 319083.15 330634.05 331434.59 160144.46 369657.833 264901.15 173482.72 </code></pre> <p>Or just <code>suppressWarnings(rbind(df, colMeans=colMeans(df[, -1])))</code> if you know where the non-numeric variable is.</p>
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    1. USJilber Urbina
    1. USJilber Urbina
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    1. CO+1 I dunno what I was thinking. Perhaps more coffee. :-)
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      1. USSimon O'Hanlon
    2. COI forgot that there is one column with non-numeric values. Names of rows. The column name is "Description". How can I ignore it ? Thx.
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      1. USRechlay
    3. CO@Rechlay see edit.
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      1. USJilber Urbina
 

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