Displaying 6 results from an estimated 6 matches for "qn2".
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on2
2013 Mar 10
0
max row
...uot;p2"]);
>>>>
>>>>Fmm2<- Fm2(p1L);
>>>>Fnn2<- Fn2(p1H);
>>>>
>>>>R2<- (Fmm2+Fnn2)/2;?
>>>>Fmm_f2<- max(R2, Fmm2);
>>>>Fnn_f2<- min(R2, Fnn2);?
>>>>Qm2<- 1-Fmm_f2;
>>>>Qn2<- 1-Fnn_f2;
>>>>data.frame(Qm2,Qn2)}))
>>>>
>>>>res5<-cbind(res3,res4)
>>>>head(res5,5)
>>>>
>>>>################################################# calculate cumulative sum #################################
>>>>...
2009 Jan 26
0
why two diff. se in nlsList?
...++++++++++++++++++++++++++++++++
> library(nlme)
> fm1 <- nlsList(uptake ~ SSasympOff(conc, Asym, lrc, c0),
data = CO2, start = c(Asym = 30, lrc = -4.5, c0 = 52))
> summary(fm1)$para[,,1]
Estimate Std. Error t value Pr(>|t|)
Qn1 38.13977 0.9911148 38.48169 1.991990e-06
Qn2 42.87169 1.0932089 39.21638 2.583953e-06
Qn3 44.22800 1.0241029 43.18706 1.809264e-07
Qc1 36.42874 1.1941594 30.50576 1.140085e-05
Qc3 40.68373 1.2480923 32.59673 1.424635e-04
Qc2 39.81950 1.0167249 39.16447 2.692304e-06
Mn3 28.48286 1.0624246 26.80930 1.066434e-06
Mn2 32.12827 1.0174826 31....
2010 Dec 17
2
newbie question on str output
Hi!
Here is some output from an str command:
> str(CO2)
Classes ‘nfnGroupedData’, ‘nfGroupedData’, ‘groupedData’ and
'data.frame': 84 obs. of 5 variables:
$ Plant : Ord.factor w/ 12 levels "Qn1"<"Qn2"<"Qn3"<..: 1 1 1 1 1 1 1 2
2 2 ...
$ Type : Factor w/ 2 levels "Quebec","Mississippi": 1 1 1 1 1 1 1 1 1 1
...
$ Treatment: Factor w/ 2 levels "nonchilled","chilled": 1 1 1 1 1 1 1 1 1 1
...
$ conc : num 95 175 250 350 500 675...
2013 Feb 01
29
cumulative sum by group and under some criteria
Thank you very much for your reply. Your code work well with this example.
I modified a little to fit my real data, I got an error massage.
Error in split.default(x = seq_len(nrow(x)), f = f, drop = drop, ...) :
Group length is 0 but data length > 0
On Thu, Jan 31, 2013 at 12:21 PM, arun kirshna [via R] <
ml-node+s789695n4657196h87@n4.nabble.com> wrote:
> Hi,
> Try this:
>
2008 Apr 14
5
Equivalent to a BY command in SAS
Hi,
I'm very new to R and absolutely love it. Does anyone know how to use
something in R that functions like a BY command in SAS?
For example, let's say you have a variable x, and you want to see the mean.
Easy...
> mean(x)
But what if you want to see the mean of x conditional on another discrete
variable? My best attempts so far are something like...
> mean(x, y_cat=1)
2020 Feb 27
2
[PATCH] Update the 5 year logo to 10 year logo
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