Displaying 6 results from an estimated 6 matches for "gewicht".
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gericht
2013 May 11
3
boxplot with grouped variables
my dataset looked like this in the beginning:
>Daten
V1 V2 V3
1 Dosis Gewicht Geschlecht
2 0 6.62 m
3 0 6.65 m
4 0 5.78 m
5 0 5.63 m
I need box plots for V2 with all combination of V1 and V3, so I deleted the
first row, and tried this:
boxplot(Daten$V2[Daten$V3=="m"])
but it does not work and I ha...
2004 Jan 07
2
Survival, Kaplan-Meier, left truncation
...timator.
The problem I have is that there are already people in 1970 who are older
than 50 years.
I guess this is called delayed entry or left truncation (?).
I thought the code would be:
roland <- survfit(Surv(time=age.enter, time2=age.exit, event=status,
type="interval")~1, weights=gewicht,
type="kaplan-meier")
But then R tells me that it can handle only right-censored or counting data.
Is there another function which allows me to calculate the Kaplan Meier
estimator?
Thanks,
Roland
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2010 Jun 15
1
help biglm.big.matrix; problem with weights
...8 + VAR17_2008 + VAR18_2008 +
VAR19_2008 +
VAR21_2008 + VAR22_2008 + VAR23_2008 + VAR24_2008 + VAR25_2008 +
VAR26_2008 + VAR27_2008 +
VAR28_2008 + VAR29_2008 + VAR30_2008 + VAR31_2008 + VAR32_2008 +
VAR33_2008 + VAR34_2008 +
VAR35_2008 + VAR36_2008 + VAR37_2008 + VAR38_2008 + VAR39_2008,
weights = ~Gewicht , data = NIKA)
summary(Reg)
Has sombody an idea, what my error is?
Thanks in advance for your help!
Best regards form germany, berlin
2005 Jan 30
1
Re: desire box
I know SAM2 (or rather, SAM3 now) has this functionality built-in:
http://spacialaudio.com/
It is disabled by default and difficult to step though. Not to mention the
cost of the entire application.
What I found worked the best for me is to have my website output to a file
whatever song somebody clicked on. A script would check the file every few
seconds, and then execute my media player with
2010 Jun 16
0
biglm.big.matrix: Problem with weighting
...R04 + VAR05 + VAR06 +
VAR07 + VAR08 + VAR09 + VAR10 + VAR11 + VAR12 + VAR13 +
VAR14 + VAR15 + VAR16 + VAR17 + VAR18 + VAR19 +
VAR21 + VAR22 + VAR23 + VAR24 + VAR25 + VAR26 + VAR27 +
VAR28 + VAR29 + VAR30 + VAR31 + VAR32 + VAR33 + VAR34 +
VAR35 + VAR36 + VAR37 + VAR38 + VAR39, weights = ~Gewicht , data =
NIKA)
summary(Reg)
Best regards form germany, berlin.
Rahim Hajji
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2001 Jun 21
0
factors in model.frame.default
...","tmi","mr","rnf","mdic","emd","mv",
"rh","alfah","alfav","sex","patalter","flimmer","familie",
"blutdruck","groesse","gewicht","bmi")]
R> tree <- rpart(y ~ ., data=design)
R> predict.rpart(tree, design)
where "sex", "blutdruck" and "familie" are factors.
The warnings are given from the following lines in model.frame.default:
if(length(xlev) > 0) {
for(nm...