[R-sig-eco] manova repeated measures + Error
Steve Brewer
jbrewer at olemiss.edu
Fri Feb 13 19:00:40 CET 2015
Marina,
I'm a little confused by your description. What is "tempo"? Is it just the
Portuguese word for the time variable?
>From what I gather, "plot" should be nested within "nurse" and "target",
but not within time. So, I think your model should be manova(Y ~
nurse*target*time + Error(plot). Not sure why tempo (assuming it is the
same as time) would need to be in parentheses.
Make sure that the time and plot variables are not being treated as
numeric continuous variables. They should be categorical variables.
Finally, a comment about RII. I would be wary of using this index. I don't
think it is necessary, and, like proportions, it usually is NOT normally
distributed. Just because many people use it doesn't mean it is a good
idea. I think just log transforming the data and taking the difference
between the nurse-present and nurse-absent plot halves would provide you
what you want (it is equivalent to a log response ratio, LRR, which is
superior to RII).
Good luck,
Steve
J. Stephen Brewer
Professor
Department of Biology
PO Box 1848
University of Mississippi
University, Mississippi 38677-1848
Brewer web page - http://home.olemiss.edu/~jbrewer/
FAX - 662-915-5144
Phone - 662-202-5877
On 2/13/15 9:58 AM, "Marina Vergara Fagundes" <marvefa at gmail.com> wrote:
>Dear all,
>
>I conducted a interaction plant experiment, with 20 adult plant species (5
>individuals each) and 3 seedling species, and a 100 plots in total. Each
>plot consist of two 2m² quadrants, the first contains one adult individual
>as a potential “nurse” and 3 seedling species below their canopy, and the
>second just with 3 seedling species with no canopy influence (in an open
>area).
>I measured growth variables of the seedlings (leaves number and height)
>over 8 weaks (times).
>For each growth variable I calculated a index (rii) with the difference of
>growth below and far from canopy.
>
>I'm analyzing this data with MANOVA with repeated measures. Where Y axes
>are the index of growth measurements (for leafs and height), and the X
>axes
>are the 20 nurse species and interactions with seedlings species and time.
>
>This is how my data frame is organized:
>plot nurse target time height_rii leaves_rii
>113 algodao angico 1 0.03703704 0.00000000
>113 algodao aroeira 2 0.05660377 0.09090909
>113 algodao cating 3 0.03846154 0.00000000
>115 algodao angico 1 0.01818182 0.11111111
>115 algodao aroeira 2 0.05660377 0.50000000
>115 algodao cating 3 0.03703704 0.00000000
>
>This is the code for the MANOVA:
>Y <- with(tabela3, cbind(altura_rii, folhas_rii))
>m1 <- manova( Y ~ nurse*target*time+Error(tempo/plot),data=tabela3)
>summary(m1)
>
>When i ask for anova table i got this specific message:
>
>
>
>
>
>
>
>*Error: timeNo error degrees of freedom Dftempo 7*Error: time:plot
> Df Pillai approx F num Df den Df Pr(>F)
>nurse 19 0.17070 3.14316 38 1280 8.633e-10 ***
>nurse:time 133 0.24253 0.66405 266 1280 1
>Residuals 640
>---
>Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
>Error: Within
> Df Pillai approx F num Df den Df Pr(>F)
>target 2 0.013439 4.3297 4 2560 0.001715 **
>nurse:target 38 0.178898 3.3090 76 2560 < 2.2e-16 ***
>target:time 14 0.027914 1.2941 28 2560 0.138459
>nurse:target:time 266 0.174314 0.4594 532 2560 1.000000
>Residuals 1280
>---
>Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
>Any idea what is it about?
>Thanks a lot for help!
>Marina
>
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>
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