lt;https://www.facebook.com/hashtag/convert?source=feed_text=HASHTAG> to
Raster
in.rr=raster(as.matrix(in.r))
in.rr[in.rr == -]=NA
x.max=xll$V2+(xdim$V2*cl$V2)
y.max=yll$V2+(ydim$V2*rw$V2)
extent(in.rr)=c(xll$V2,x.max,yll$V2,y.max)
#
Thank you all in advanc
Dear all,
I am trying to run the codes of "greenbrown" package for detection in
raster time serie.
However the error below reported occurs.
#
library(greenbrown)
data(ndvimap)
ndvimap
plot(ndvimap,8)
# calculate trend: annual aggregation method
AATmap <- TrendRaster(ndvimap$X1982.01.01,
Dear all,
My name is Jackson.
I am trying to set the same colour range for 2 rasters (max and min
temperatures). Both rasters have different numerical ranges but the same
dimensions
dimensions : 4346, 4365, 18970290, 1 (nrow, ncol, ncell, nlayers)
The lowest value is 3 and the highest is 31.
Hi everybody,
My name is Jackson and come here ask for a help to organize data.
I really need help from you. I have several data sets to organize.
I have to summarize precipitation data collected in different days and
months in only one table.
However, those data are disperse in days and times.
Hi,
after updating R and RStudio I am no longer able to see my plots in the
plot pane. Instead a new window opens called: R Graphics: Device 2 (Active).
I tried to use dev.off(), reinstalling, update again and etc but it does
not help.
I've checked this discussion list but I could not find any
Hi everybody,
Happy new year!!
I was wondering if it is possible to install and to run R to raspberry pi.
Has anyone ever tried to run R in raspberry Pi 3? If so, how was the
experience? Any suggestion for a more appropriate platform ?
Cheers
Jackson
[[alternative HTML version
Hi everybody,
I have a big matrix spread over a long time period.
I would like to make a ordination plot (PCA, CA, DCA etc) of this matrix
and look for patterns on time by exploring a color scheme (I have heat
color in mind).
The idea is to use a progressive color scheme ranging from red (the
Dear all,
I have 2 data sets (A and B) with normal distributions. When I plot them
together, they overlay/share one part of plot.
I want to extract from each A and B that shared area.
Actually I want to sum A+B and then to compare the result with the
individual shared area of A and B to know how
wiggles I projected a shadded curve of exaggerated data.
My question is: How to plot shades between curves?
Thank you all
Jackson Rodrigues
My codes are:
plot(Capa.diss,Capa.diss.age,ylim =
rev((range)(Capa.diss.age=c(min(Capa.diss.age),
10500))),xlim=(c(0,30)),type="l")
Capa.diss2<
) is a smoothed curve through time in which each
peak indicates an independent event. I would like to know when exactly on
time (x axis) each one of these peaks ocurred. So, how to intercept the x
axis at the maximum value of a peak.
I appreciate any help.
Jackson Rodrigues
[[alternative
have gotten
no p-value and K-index either.
Could anyone help me to find the best degree of freedom?
Thank you in advance for any support.
Jackson Rodrigues
--
Jackson M. Rodrigues
Department of Palynology and Climate Dynamics
Albrecht-von-Haller-Institute for Plant Sciences
Georg-August
error:
Error: unexpected ';' in grecent - subset(gtemp, subset = Year gt;
I've tried to replace ; with several things, but it does not work at all.
Could anyone help me to solve this problem?
Best Regards,
Jackson Rodrigues
[[alternative HTML version deleted
Hi everybody,
I am using vegan package.
I have a matrix with 72 plant species, however most of them are irrelevant
or not very important. When they are displayed together my plot is
cluttered.So I want to constrain my biplot showing only species A B C D.
How can I write the right code?
I am
one is correct?
Does anyone can help me? Any help is very welcome.
Cheers.
Jackson Rodrigues
[[alternative HTML version deleted]]
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PLEASE do read the posting guide
) 100 times, I will get 100
different results. Which one is correct?
Does anyone can help me? Any help is very welcome.
Cheers.
Jackson Rodrigues
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.1.all), cex=0.7, pos=3)
# Add legend interactively
legend(locator(1), paste(Cluster, c(1:length(grl))),
pch=14+c(1:length(grl)),
col=1+c(1:length(grl)), pt.cex=2)
Thank you for any help.
Jackson Rodrigues
[[alternative HTML version deleted
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