Displaying 4 results from an estimated 4 matches for "used2".
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used
2007 Nov 30
2
nls and discontinuous functions
...Errors I am getting are:
Error in qr(.swts * attr(rhs, "gradient")) : dims [product 3] do not match the length of object [10]In addition: Warning messages:1: In if (x < 0) r0 else (r0 - u) * exp(-k * x) + u : the condition has length > 1 and only the first element will be used2: In if (x < 0) r0 else (r0 - u) * exp(-k * x) + u : the condition has length > 1 and only the first element will be used3: In if (x < 0) r0 else (r0 - u) * exp(-k * x) + u : the condition has length > 1 and only the first element will be used4: In if (x < 0) r0 else (r0 - u) * exp(...
2011 Mar 31
1
Effects - plot the marginal effect
...2.029 on 78 degrees of freedom
Multiple R-squared: 0.2128, Adjusted R-squared: 0.1826
F-statistic: 7.031 on 3 and 78 DF, p-value: 0.0003029
> plot(effect(a90$enpres:a90$proximity1, mreg01))Warning messages:1: In a90$enpres:a90$proximity1 :
numerical expression has 82 elements: only the first used2: In
a90$enpres:a90$proximity1 :
numerical expression has 82 elements: only the first used3: In
analyze.model(term, mod, xlevels, default.levels) :
0 does not appear in the modelError in
plot(effect(a90$enpres:a90$proximity1, mreg01)) :
error in evaluating the argument 'x' in selecting...
2008 Aug 16
0
use of all row elements
...generating random time of displacement
todrange<-todmax-todminrandomtod<-0for(i in 1:todrange){if (proprand>data[[9+i]] & proprand<=data[[10+i]]) randomtod=i}
Following messages are given:
Warning messages:1: In 1:todrange : numerical expression has 50 elements: only the first used2: In if (proprand > data[[9 + i]] & proprand <= data[[10 + i]]) randomtod = i : the condition has length > 1 and only the first element will be used3: In if (proprand > data[[9 + i]] & proprand <= data[[10 + i]]) randomtod = i : the condition has length > 1 and only the f...
2013 Aug 26
2
Partial correlation test
Dear all,
I'm writing my manuscript to publish after analysis my final data with
ANOVA, ANCOVA, MANCOVA. In a section of my result, I did correlation of my
data (2 categirical factors with 2 levels: Quantity & Quality; 2 dependent
var: Irid.area & Casa.PC1, and 1 co-var: SL). But as some traits (here
Irid.area) are significantly influenced by the covariate (standard length,
SL), I