<div dir="ltr">Dear Valerio,<div><br></div><div>> 1-Did you mean that I need to do some enhancement to the plot in order to me more efficient for publication?<br></div><div><br></div><div>I definitely think so.</div><div><p dir="ltr">> 2- Did you mean each grayed column apply the p <0.05? What is the best way to interpret the plot in this case? Should I say the 2 plots (center and leftmost) are different in the latencies that are indicated by the gray column? <br></p><p>Yes. Interpretation is not so easy if the significance area are scattered.</p><p dir="ltr">> 3- Should like this plot having such geayed columns get displayed in the paper without having any associated data and information such mean and standard deviation? What you could do when you might have like this plot?</p><p>There are standards for reporting data; mean, standard deviation, statistics score, p-value, etc. See papers.</p><p dir="ltr">> 4- If I have plot with condition p <0.05, but all the areas are white instead of having gray colour. Does that means that the condition is not existed?</p><div class="gmail_extra">The differences are non-significant (which does not guarantee that there is no difference).</div><div class="gmail_extra"><br></div><div class="gmail_extra">Makoto</div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Nov 25, 2015 at 10:07 PM, valerio jus <span dir="ltr"><<a href="mailto:valeriojus@gmail.com" target="_blank">valeriojus@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><p dir="ltr">Dear Makoto,</p>
<p dir="ltr">Thanks a lot.<br><br></p>
<p dir="ltr">1-Did you mean that I need to do some enhancement to the plot in order to me more efficient for publication? </p>
<p dir="ltr">2- Did you mean each grayed column apply the p <0.05? What is the best way to interpret the plot in this case? Should I say the 2 plots (center and leftmost) are different in the latencies that are indicated by the gray column? <br></p>
<p dir="ltr">3- Should like this plot having such geayed columns get displayed in the paper without having any associated data and information such mean and standard deviation? What you could do when you might have like this plot?</p>
<p dir="ltr">4- If I have plot with condition p <0.05, but all the areas are white instead of having gray colour. Does that means that the condition is not existed? </p>
<p dir="ltr">Regards, <br>
Valerio </p><div class=""><div class="h5">
<div class="gmail_quote">On 26 Nov 2015 12:21, "Makoto Miyakoshi" <<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>> wrote:<br type="attribution"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr">Dear Valerio,<div><br></div><div>The grayed areas in the rightmost plot shows the p<0.05 latencies. You probably want to reprocess the figure for publication anyway.</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Oct 16, 2015 at 4:42 AM, valerio jus <span dir="ltr"><<a href="mailto:valeriojus@gmail.com" target="_blank">valeriojus@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr"><div><div>Hi everyone, <br><br></div>I need to examine my hypothesis based on p<0.05. Thus, can anyone help with how to achieve this using the attached plot. How to know the value of p that should be compared to 0.05 using the plot?<br><br></div><div>Thanks in advance.<br></div><div>Valerio<br></div><div><br><br><div class="gmail_chip gmail_drive_chip" style="width:396px;min-height:18px;max-height:18px;padding:5px;color:rgb(34,34,34);font-family:arial;font-style:normal;font-weight:bold;font-size:13px;border:1px solid rgb(221,221,221);line-height:1;background-color:rgb(245,245,245)"><a href="https://drive.google.com/file/d/0Byt9XStqEMdIVC1kYWhtWjhSTnM/view?usp=drive_web" style="display:inline-block;overflow:hidden;text-overflow:ellipsis;white-space:nowrap;text-decoration:none;padding:1px 0px;border:medium none;width:100%" target="_blank"><img style="vertical-align: bottom; border: none;" src="https://ssl.gstatic.com/docs/doclist/images/icon_11_image_list.png"> <span dir="ltr" style="color:rgb(17,85,204);text-decoration:none;vertical-align:bottom">Statistics of scalp channel ERP.png</span></a></div><br></div></div>
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</div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div></div>
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