Hello RUser!
I try to use ace for an ancestral state reconstruction but got back an error
message.
ace(FacVar,Tree, type="discrete")
Warning messages:
1: In nlm(function(p) dev(p), p = rep(ip, length.out = np), hessian = TRUE)
:
NA/Inf durch gr??te positive Zahl ersetzt (NA/Inf replaced by positive
number)
2: In nlm(function(p) dev(p), p = rep(ip, length.out = np), hessian = TRUE)
:
NA/Inf durch gr??te positive Zahl ersetzt
3: In nlm(function(p) dev(p), p = rep(ip, length.out = np), hessian = TRUE)
:
NA/Inf durch gr??te positive Zahl ersetzt
4: In nlm(function(p) dev(p), p = rep(ip, length.out = np), hessian = TRUE)
:
NA/Inf durch gr??te positive Zahl ersetzt
5: In nlm(function(p) dev(p), p = rep(ip, length.out = np), hessian = TRUE)
:
NA/Inf durch gr??te positive Zahl ersetzt
6: In nlm(function(p) dev(p), p = rep(ip, length.out = np), hessian = TRUE)
:
NA/Inf durch gr??te positive Zahl ersetzt
7: In nlm(function(p) dev(p), p = rep(ip, length.out = np), hessian = TRUE)
:
NA/Inf durch gr??te positive Zahl ersetzt
8: In nlm(function(p) dev(p), p = rep(ip, length.out = np), hessian = TRUE)
:
NA/Inf durch gr??te positive Zahl ersetzt
9: In ace(SummaCharNAavoidOpt7$Spik_orient_Anth_Diff,
RestioTreeOoutgrBLrooted, :
The likelihood gradient seems flat in at least one dimension (gradient
null):
cannot compute the standard-errors of the transition rates.
I presume it is due to my missing values?
na.pattern(dataframe)
#dataframe contains 7 discrete characters. I get an error message with
all of them
pattern
0000000 0000001 0000100 0010000 0100000 1000000 1001000 1100100 1111111
274 5 1 3 7 2
1 1 4
Can I fix this somehow?
Thanks in advance
Birgit
-----
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(Marcus Aurelius)
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