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	Comments on: Transform Data to Normal Distribution in R	</title>
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	<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/</link>
	<description>Data Mining and Statistics for Decision Support</description>
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	<item>
		<title>
		By: Ana		</title>
		<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-29381</link>

		<dc:creator><![CDATA[Ana]]></dc:creator>
		<pubDate>Fri, 09 May 2025 07:41:56 +0000</pubDate>
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					<description><![CDATA[Hi, how can I cite this website? I used in my paper the square-root transformation for negative data (reflected) but can&#039;t find anywhere else a source. Thank you]]></description>
			<content:encoded><![CDATA[<p>Hi, how can I cite this website? I used in my paper the square-root transformation for negative data (reflected) but can&#8217;t find anywhere else a source. Thank you</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: swarup		</title>
		<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-29343</link>

		<dc:creator><![CDATA[swarup]]></dc:creator>
		<pubDate>Sun, 02 Mar 2025 16:16:09 +0000</pubDate>
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					<description><![CDATA[I am not able to install ggpubr package. please help me with this]]></description>
			<content:encoded><![CDATA[<p>I am not able to install ggpubr package. please help me with this</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Kirsty Brown		</title>
		<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-29211</link>

		<dc:creator><![CDATA[Kirsty Brown]]></dc:creator>
		<pubDate>Fri, 19 Jul 2024 15:08:20 +0000</pubDate>
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					<description><![CDATA[Hello Kassambara,

Thank you for this super helpful article, 
At the end you mentioned that for ANOVA tests, violations of normality will not necessarily compromise validity; I was wondering if you were able to provide a reference for this?  As it would help support my justification for not having to transform my non-normal data when I&#039;m planning to perform an ANOVA.

Thank you!!]]></description>
			<content:encoded><![CDATA[<p>Hello Kassambara,</p>
<p>Thank you for this super helpful article,<br />
At the end you mentioned that for ANOVA tests, violations of normality will not necessarily compromise validity; I was wondering if you were able to provide a reference for this?  As it would help support my justification for not having to transform my non-normal data when I&#8217;m planning to perform an ANOVA.</p>
<p>Thank you!!</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Mario		</title>
		<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-21133</link>

		<dc:creator><![CDATA[Mario]]></dc:creator>
		<pubDate>Mon, 12 Oct 2020 15:27:46 +0000</pubDate>
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					<description><![CDATA[Hello!
Would you have an academic reference (book, journal article) referring to a transformation in the form of log10(max(x+1) - x)?
Any hint would be most appreciated. Thank you!
Sincerely,
Mario]]></description>
			<content:encoded><![CDATA[<p>Hello!<br />
Would you have an academic reference (book, journal article) referring to a transformation in the form of log10(max(x+1) &#8211; x)?<br />
Any hint would be most appreciated. Thank you!<br />
Sincerely,<br />
Mario</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: tester		</title>
		<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19914</link>

		<dc:creator><![CDATA[tester]]></dc:creator>
		<pubDate>Wed, 27 May 2020 16:54:54 +0000</pubDate>
		<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=dt_lessons&#038;p=10895#comment-19914</guid>

					<description><![CDATA[In reply to &lt;a href=&quot;https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19913&quot;&gt;kassambara&lt;/a&gt;.

one more (typo) maybe?
 at end of article, where it says:

df$PHYS &#060;- log10(max(df$CONT+1) - df$CONT)

shouldn&#039;t say, instead ?:
df$PHYS &#060;- log10(max(df$PHYS+1) - df$PHYS)

Then, the final:
skewness(df$PHYS, na.rm = TRUE)
will also have a different value.

Just asking...]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19913">kassambara</a>.</p>
<p>one more (typo) maybe?<br />
 at end of article, where it says:</p>
<p>df$PHYS &lt;- log10(max(df$CONT+1) &#8211; df$CONT)</p>
<p>shouldn&#039;t say, instead ?:<br />
df$PHYS &lt;- log10(max(df$PHYS+1) &#8211; df$PHYS)</p>
<p>Then, the final:<br />
skewness(df$PHYS, na.rm = TRUE)<br />
will also have a different value.</p>
<p>Just asking&#8230;</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: kassambara		</title>
		<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19913</link>

		<dc:creator><![CDATA[kassambara]]></dc:creator>
		<pubDate>Wed, 27 May 2020 16:11:19 +0000</pubDate>
		<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=dt_lessons&#038;p=10895#comment-19913</guid>

					<description><![CDATA[In reply to &lt;a href=&quot;https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19910&quot;&gt;tester&lt;/a&gt;.

OK, great that it works!]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19910">tester</a>.</p>
<p>OK, great that it works!</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: tester		</title>
		<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19910</link>

		<dc:creator><![CDATA[tester]]></dc:creator>
		<pubDate>Wed, 27 May 2020 16:08:22 +0000</pubDate>
		<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=dt_lessons&#038;p=10895#comment-19910</guid>

					<description><![CDATA[In reply to &lt;a href=&quot;https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19909&quot;&gt;tester&lt;/a&gt;.

oops! (Mea Culpa)
I missed a step in your Tutorial.
Ok, continue with the wonderful, clear examples...]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19909">tester</a>.</p>
<p>oops! (Mea Culpa)<br />
I missed a step in your Tutorial.<br />
Ok, continue with the wonderful, clear examples&#8230;</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: tester		</title>
		<link>https://www.datanovia.com/en/lessons/transform-data-to-normal-distribution-in-r/#comment-19909</link>

		<dc:creator><![CDATA[tester]]></dc:creator>
		<pubDate>Wed, 27 May 2020 15:58:39 +0000</pubDate>
		<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=dt_lessons&#038;p=10895#comment-19909</guid>

					<description><![CDATA[Hi Kassambara, 
another EXCELLENT, clear article.

But getting an error message from example:
# Distribution of CONT variable
ggdensity(df, x = &quot;CONT&quot;, fill = &quot;lightgray&quot;, title = &quot;CONT&quot;) +
  scale_x_continuous(limits = c(3, 12)) +
  stat_overlay_normal_density(color = &quot;red&quot;, linetype = &quot;dashed&quot;)
#returns error:
Error in data[, x] : object of type &#039;closure&#039; is not subsettable

help!]]></description>
			<content:encoded><![CDATA[<p>Hi Kassambara,<br />
another EXCELLENT, clear article.</p>
<p>But getting an error message from example:<br />
# Distribution of CONT variable<br />
ggdensity(df, x = &#8220;CONT&#8221;, fill = &#8220;lightgray&#8221;, title = &#8220;CONT&#8221;) +<br />
  scale_x_continuous(limits = c(3, 12)) +<br />
  stat_overlay_normal_density(color = &#8220;red&#8221;, linetype = &#8220;dashed&#8221;)<br />
#returns error:<br />
Error in data[, x] : object of type &#8216;closure&#8217; is not subsettable</p>
<p>help!</p>
]]></content:encoded>
		
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