Hi all,

I have a specific & more general question about estimating branch length 
transformations.


1. Specific question:
I ran a gls using corPagel(..., fixed=FALSE) to estimate Pagel's lambda while 
fitting the model. The model gives me a negative value of lambda which seems 
very wrong. Does it suggest a problem with the data, simply no phylogenetic 
signal, or something else? I am guessing it means no phylogenetic signal 
because setting corPagel(value=0, ..., fixed=TRUE) gives similar but not 
identical model. The code below & attached dataset should reproduce this.

I hope it's not too naive; I've searched, but cannot find anything about 
negative lambda estimates. 


2. General question:
When setting corPagel(value=x, ..., fixed=FALSE), the estimated lambda varies 
depending on the value (x) specified. This also happens with other "corPhyl" 
methods. Is there a preferred way of putting a sensible starting value? I'm 
thinking an iterative process may do the trick, but again I'm guessing...


Thanks in advance for your input,
Mick
(PhD candidate)
McGill University
Montreal, Canada


### Here's a reproducible example with data in the attached file (dd.test.txt):

### read data file
dd <- read.csv("testdd.txt", header=T, row.names=1)

### read phylogeny
ttxt <- "((((((((Sit_avenae:1,Met_dirhodum:1):1,Mac_creelii:1):1,Acy_pisum:
1):1,Uro_jaceae:1):1,(Myz_persicae:1,(Bre_brassicae:1,Diu_noxia:1):1):1):
1,((Rho_maidis:1,Rho_padi:1):1,(Tox_citricida:1,((Aph_craccivora:1,Aph_fabae:
1):1,(Aph_glycines:1,Aph_gossypii:1):1):1):1):1):1,Dre_platanoides:1):
1,(Cin_piceicola:1,Cin_pilicornis:1):1);"
tree <- read.tree(text=ttxt)

### fit gls
corPa <- corPagel(value=1, phy=tree, fixed=FALSE)
form <- formula(th ~ aSize + pSize + instar)
summary( gls(form, correlation=corPa, data=dd) )

### output:

Generalized least squares fit by REML
  Model: form 
  Data: dd 
       AIC      BIC    logLik
  34.20101 38.03535 -11.10050

Correlation Structure: corPagel
 Formula: ~1 
 Parameter estimate(s):
    lambda 
-0.6050088 

Coefficients:
                 Value Std.Error    t-value p-value
(Intercept)  1.8141584 0.6354861  2.8547571  0.0127
aSize        1.3394331 0.5901446  2.2696693  0.0396
pSize       -1.0607982 0.5866774 -1.8081458  0.0921
instar       0.3872971 0.4276060  0.9057336  0.3804

 Correlation: 
       (Intr) aSize  pSize 
aSize  -0.613              
pSize   0.058 -0.702       
instar -0.745  0.383 -0.316

Standardized residuals:
       Min         Q1        Med         Q3        Max 
-1.7951511 -0.4593993  0.4495497  0.9947766  2.7149596 

Residual standard error: 0.3977355 
Degrees of freedom: 18 total; 14 residual


### session info
R version 2.9.0 (2009-04-17) 
i386-pc-mingw32 

locale:
LC_COLLATE=French_Canada.1252;LC_CTYPE=French_Canada.1252;LC_MONETARY=French_Canada.1252;LC_NUMERIC=C;LC_TIME=French_Canada.1252

attached base packages:
[1] grDevices utils     datasets  stats     graphics  methods  
[7] base     

other attached packages:
 [1] geiger_1.2-14     ouch_2.5-4       subplex_1.1-3  msm_0.8.2     
 [5] mvtnorm_0.9-7   MASS_7.2-46    picante_0.7-0  nlme_3.1-92   
 [9] vegan_1.15-2     ape_2.3           geepack_1.0-16

loaded via a namespace (and not attached):
[1] gee_4.13-13       grid_2.9.0        lattice_0.17-22 splines_2.9.0  
[5] survival_2.35-4




"","th","aSize","pSize","instar","rSize"
"Sit_avenae",2.34057803811701,0.941119058572024,0.850597568334247,0.943826746719236,1.03702283879018
"Met_dirhodum",2.34563724252011,0.973256826044084,0.871593656376963,1.03972077083992,0.837774244589395
"Mac_creelii",3.15102515796003,1.46851240142544,1.05239289777758,0.693147180559945,0.745315882
"Acy_pisum",2.80330188331362,1.20922931205038,1.04429028121510,0.946562873037042,0.878868303935916
"Uro_jaceae",3.69494564004702,1.06248029036020,0.936093359170335,0.95749834867258,0.850708924
"Myz_persicae",2.85650839099218,0.726036192173243,0.659734564359011,0.907262024479215,1.28951922680894
"Bre_brassicae",2.06595477383445,0.841323509008712,0.792615771267286,0.818868912327109,0.973140323
"Diu_noxia",2.03022150527321,0.655123972551085,0.664715363747263,0.80471895621705,1.01630487206375
"Rho_maidis",2.99573227355399,0.837425781805104,0.52669897272543,1.09861228866811,0.801577909
"Rho_padi",2.31253542384721,0.640936941696746,0.714812226888396,1.38629436111989,1.136077196
"Tox_citricida",2.53877299956916,0.65836106466922,0.644370010706087,0.549306144582964,0.93082912
"Aph_craccivora",1.85629799036563,0.648105167189013,0.693147180559945,1.6094379124341,1.078894134
"Aph_fabae",3.61361696961339,0.775801932182208,0.545227050483323,1.09861228866811,0.78125
"Aph_glycines",3.55915232109702,1.21191391735909,0.573701226418771,1.03972077092965,1.40784782247920
"Aph_gossypii",2.87495120513488,0.318754489522555,0.703979703724171,1.49786613677700,1.28995075405653
"Dre_platanoides",3.10863384891252,0.720903276377944,0.699092446888216,1.6094379124341,0.672285347
"Cin_piceicola",2.44560557187222,1.09861228866811,1.34807314829969,1.09861228866811,1.222222222
"Cin_pilicornis",2.7797505152674,1.46511117900518,1.34807314829969,1.09861228866811,0.977281381
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