Displaying 8 results from an estimated 8 matches for "t_mar".
2017 Jun 20
2
Help with the plot function
Dear friends,
I have the following dataframe:
YEAR <- c(1996 , 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004 )
T_MAR <- c(2.8, 6.5, 5.4,2.4, 4, 4.1, 3, 4.4, 4.5)
T_APR <- c(5.7, 7.8, 7.7, 4.6, 4.7, 6.2,5.7, 5.9, 7)
T_MAY <- c(7, 8.8, 10, 6, 5.5, 7.6, 8.5, 7.3, 10.2)
BUD <- c(87, 98, 93, 85, 89, 91, 87, 92, 92)
BUD_SE <- c(3.6, 2, 2.4, 4, 2.4, 2.4, 4, 2.4, 3)
g1 <- data.frame(YEAR, T_MAR, T_APR,...
2017 Jun 20
1
Help with the plot function
...very similar to the one I need to make for my paper, and I think I got what
I wanted by applying some of the suggestions of this mail list.
Here it is the code I devised (maybe there will be further improvements
from the list):
YEAR <- c(1996 , 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004 )
T_MAR <- c(2.8, 6.5, 5.4,2.4, 4, 4.1, 3, 4.4, 4.5)
T_APR <- c(5.7, 7.8, 7.7, 4.6, 4.7, 6.2,5.7, 5.9, 7)
T_MAY <- c(7, 8.8, 10, 6, 5.5, 7.6, 8.5, 7.3, 10.2)
BUD <- c(87, 98, 93, 85, 89, 91, 87, 92, 92)
BUD_SE <- c(3.6, 2, 2.4, 4, 2.4, 2.4, 4, 2.4, 3)
g1 <- data.frame(YEAR, T_MAR, T_APR,...
2017 Jun 20
2
Help with the plot function
...; comic strip )
>
>
> On Mon, Jun 19, 2017 at 6:30 PM, Andr? Luis Neves <andrluis at ualberta.ca>
> wrote:
> > Dear friends,
> >
> > I have the following dataframe:
> >
> > YEAR <- c(1996 , 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004 )
> > T_MAR <- c(2.8, 6.5, 5.4,2.4, 4, 4.1, 3, 4.4, 4.5)
> > T_APR <- c(5.7, 7.8, 7.7, 4.6, 4.7, 6.2,5.7, 5.9, 7)
> > T_MAY <- c(7, 8.8, 10, 6, 5.5, 7.6, 8.5, 7.3, 10.2)
> > BUD <- c(87, 98, 93, 85, 89, 91, 87, 92, 92)
> > BUD_SE <- c(3.6, 2, 2.4, 4, 2.4, 2.4, 4, 2.4, 3)...
2017 Jun 20
0
Help with the plot function
...Berkeley Breathed in his "Bloom County" comic strip )
On Mon, Jun 19, 2017 at 6:30 PM, Andr? Luis Neves <andrluis at ualberta.ca> wrote:
> Dear friends,
>
> I have the following dataframe:
>
> YEAR <- c(1996 , 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004 )
> T_MAR <- c(2.8, 6.5, 5.4,2.4, 4, 4.1, 3, 4.4, 4.5)
> T_APR <- c(5.7, 7.8, 7.7, 4.6, 4.7, 6.2,5.7, 5.9, 7)
> T_MAY <- c(7, 8.8, 10, 6, 5.5, 7.6, 8.5, 7.3, 10.2)
> BUD <- c(87, 98, 93, 85, 89, 91, 87, 92, 92)
> BUD_SE <- c(3.6, 2, 2.4, 4, 2.4, 2.4, 4, 2.4, 3)
> g1 <- data.f...
2017 Jun 20
2
Help with the plot function
...Luis Neves <andrluis at ualberta.ca
> >
> >> wrote:
> >> > Dear friends,
> >> >
> >> > I have the following dataframe:
> >> >
> >> > YEAR <- c(1996 , 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004 )
> >> > T_MAR <- c(2.8, 6.5, 5.4,2.4, 4, 4.1, 3, 4.4, 4.5)
> >> > T_APR <- c(5.7, 7.8, 7.7, 4.6, 4.7, 6.2,5.7, 5.9, 7)
> >> > T_MAY <- c(7, 8.8, 10, 6, 5.5, 7.6, 8.5, 7.3, 10.2)
> >> > BUD <- c(87, 98, 93, 85, 89, 91, 87, 92, 92)
> >> > BUD_SE <- c(3...
2017 Jun 20
0
Help with the plot function
...t; On Mon, Jun 19, 2017 at 6:30 PM, Andr? Luis Neves <andrluis at ualberta.ca>
>> wrote:
>> > Dear friends,
>> >
>> > I have the following dataframe:
>> >
>> > YEAR <- c(1996 , 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004 )
>> > T_MAR <- c(2.8, 6.5, 5.4,2.4, 4, 4.1, 3, 4.4, 4.5)
>> > T_APR <- c(5.7, 7.8, 7.7, 4.6, 4.7, 6.2,5.7, 5.9, 7)
>> > T_MAY <- c(7, 8.8, 10, 6, 5.5, 7.6, 8.5, 7.3, 10.2)
>> > BUD <- c(87, 98, 93, 85, 89, 91, 87, 92, 92)
>> > BUD_SE <- c(3.6, 2, 2.4, 4, 2.4,...
2017 Jun 20
0
Help with the plot function
...D~YEAR, type="o", ann=F, axes=F, pch=19, ylim=c(60,100),data=g1)
axis(4, las=2)
mtext("Bud Break (Julian Day)", side=4, padj=4)
arrows(g1$YEAR,g1$BUD, g1$YEAR,g1$BUD + g1$BUD_SE, length=0.05, angle=90)
arrows(g1$YEAR,g1$BUD, g1$YEAR,g1$BUD-g1$BUD_SE, length=0.05, angle=90)
plot(T_MAR~YEAR, type="l", pch=19, ann=F, axes=F, xlim=c(1996,2004), ylim=c(0,12), data=g1)
title(ylab="Temperature (?C)",xlab="Year")
axis(1, at=seq(1996, 2004, 2))
axis(2, at=c(0,3,6,9,12), las=2)
I am quite close to what you probably expect. You need modify axes and their an...
2010 Aug 18
1
probabilities from predict.svm
...ining dataset to train the model, and tested it against a validation data set with good results: AUC is high, and the confusion matrix indicates low commission and omission errors. The code for the best-fit model is:
svm.model <-svm(as.factor(acutus)~p_feb+p_jan+p_mar+p_sep+t_feb+t_july+t_june+t_mar,cost=10000, gamma=1, probability=T)
Because ultimately I want to create prediction maps of probabilities of species occurrence under future climate change, I want to use the results of the validated model to predict probability of presence using data describing future conditions. I have created a...