gt;
> HTH
> Ulrik
>
> Yung-Chih Lai schrieb am Fr., 16. Dez. 2016,
> 21:40:
>
>> Hi,
>>
>>
>> The below is the command I used to create a Venn diagram with three sets.
>> However, the three circle sizes are the same. Could you show me how to
>
Hi,
The below is the command I used to create a Venn diagram with three sets.
However, the three circle sizes are the same. Could you show me how to
adjust the circle size based on the area size? Many thanks.
grid.newpage()
draw.triple.venn(area1 = 9737, area2 = 13329, area3 = 6300, n12 = 8612,
Hi,
I am currently trying to do a GLMM on a dataset with percent cover of
seagrass (dep. var) and a suite of explanatory variables including algal
(AC) and epiphyte cover (EC), rainfall, temperature and sunshine hours.
M2=glmer(SG~AC+EC+TP+SS+RF+(1|Location/fSi/fTr),
family=binomial,data=data,n
Hi All,
I am analyzing a set of data collected by two-stage cluster sampling. My
model is
y_ij = mu + T_i + e_ij
where T_i is the ith treatment and e_ij is random error for the ijth
individual. I have MSE_within and MSE_between, which lead to MSE_T for the
model.
Suppose I have balanced data whe
Hi Barry,
Shock and horror indeed, addition is not _associative_, at least for
floating point arithmetic [1].
Flipping the order of the operands seems to be the explanation of the
discrepancies between R and MATLAB as you suggest:
In R:
a = 0.812672
b = 0.916541
c = 0.797810
sprintf('%.30f'
Greetings all,
I'm porting an algorithm from MATLAB to R, and noticed some minor
discrepancies in small decimal values using rowSums and colSums which
are exacerbated after heavy iteration and log space transformation.
This was rather perplexing as both programs claimed and appeared to use
th
like only 10, based on my
easy dataset.
I try to connect the choice of lambda to the selecting numbers, but it seems
the choice is close to 0 and very sensitive.
Can someone help me or point me to another package to do that?
Thanks.
Hello,
I have a problem with fPortfolio recently. I am using below code:
Data = read.table("hf.txt",header = TRUE,sep = "")
Data = Data[, c("CA", "SS", "EM", "EMN", "ED", "DS", "MS", "RA", "FIA",
"GM", "LSE", "MF", "SP500", "NASDAQ", "JPM")]
d = as.timeSeries(Data)
class(d)
Spec = portfolioSpe
Hi,
I am trying to figure out how to put tick marks for censored observations
using plot.cuminc for my competing risk analysis (survfit does this
automatically). I've searched online for resources but found nothing. Does
anybody know how to do this? Thank you in advance for your input.
KC
9 matches
Mail list logo