Hi,
I have CO2 observations time series, I can calculate residuals by removing
seasonal cycle and trend. But how to filter residuals using Fast Fourier
Transform (FFT) which transforms the data into the frequency domain. And
then apply a low pass filter function to the frequency data, then transfo
Dear R Users,
I am using R on Windows.
1) How to calculate spatial correlation between point observation at one
location and model simulated data over some particular region. For example,
observation is at only one location 18N, 72 E and model is at 0.5x0.5 grid.
So how to calculate correlation b
S_2002_10_added-all-years.nc has 1 variables:"
[1] "float co2[lon,lat,time] Longname:co2 Missval:1e+30"
On Mon, Apr 2, 2012 at 9:20 PM, David William Pierce wrote:
> On Mon, Apr 2, 2012 at 1:54 AM, Yogesh Tiwari
> wrote:
>
> > How to read netcdf files in R ?
> > Which
Dear R Users,
I am using R 2.14.1 on windows
How to read netcdf files in R ?
Which packeges do we need to install for this,
and what commands are used for reading netcdf files.
Thanks,
Best Regards,
Yogesh Tiwari
--
Yogesh K. Tiwari (Dr.rer.nat),
Scientist,
Centre for Climate Change
Dear R Users,
How do we read netcdf / hdf format files in R ?
Also, can we convert netcdf to hdf format in R?
Great Thanks,
Best Regards,
Yogesh
[[alternative HTML version deleted]]
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R-help@r-project.org mailing list
https://stat.ethz.ch/m
Dear R Users,
I have a time series of CO2 (1993-2002)
x-axis as time
y-axis as CO2
I would like to over plot a CO2 average line at y-axis on the time series
plot.
How to do it.
Kindly help,
Thanks,
Regards,
Yogesh
[[alternative HTML version deleted]]
ented,
> minimal, self-contained, reproducible code).
>
>
>
> On Tue, Dec 21, 2010 at 7:36 AM, Yogesh Tiwari
> wrote:
> > Hi,
> > I want 12 ticks at axis 1 and want to write Jan-Dec on each.
> >
> > something like:
> >
> > axis(1, at=1:12,
>
Hi,
I want 12 ticks at axis 1 and want to write Jan-Dec on each.
something like:
axis(1, at=1:12, labels=c('J','F','M','A','M','J','J','A','S','O','N','D'))
I could omit default ticks but now how to control ticks.
plot(file$time, file$ch4*1000, ylim=c(1500,1700), xaxt='n', xlab= NA,
ylab=NA,col
Dear R Users,
I did not get any reply on my question so I am re-asking.
This time I am giving sample data:
160.3162 -13.5993 -0.4353 46.09380.1877 -0.194E-07
260.3713 -13.5992 -0.4423 46.12410.2057 -0.231E-06
360.3430 -13.5981 -1.6163
Dear R Users,
I have model simulated data for 240 days.
The day 1 is Jan 1, 2009, 00:00 hrs and then with 3-hourly interval and so
on.
The time axis is 1,2,3,4..1920; so the total rows in the data are
1920.
How to convert above time axis in "year" "month" "day" "hour" format
Great Thank
Dear R Users,
If we issue simple plot command in R we don't get legend of the plot
automatically.
For example, following lines plots two curves, but to write a legend of
these two curves there is no simple command. I checked with ?legend but
it seems bit complicated for me. Does anyone know how t
===
> Also we really should have some sample data., It have to be the entire data
> set or even the real data as
> long as it has the same format and layout.
>
> Have a look at ?dput for way to include some easily useable data.
>
> So
Dear R Users,
I am using R on windows.
how to use 'points' function to plot two curves with errbar
I am doing like:
x.val <- as.integer(names(co2mean))
errbar(x.val, co2mean, co2mean + co2sd, co2mean - co2sd, xaxt='n', col=1,
xlab=NA,ylab=NA)# obs error bar
lines(x.val, co2mean, col=1, lwd=2)
e
Dear R Users,
If a variable, say CO2(ppm), is varying with time. Then how to calculate CO2
(ppm) growth rate /a-1
I have CO2 time series (1991-2000), as:
time, year, month, day, hour, min, sec, lat, long, height, CO2
1991.476722 1991 6 24 0 5 0 -38.93 145.15 4270 353.680
1991.476741 1991 6 24 0 15
Dear R Users,
I have CO2 mixing ratio(ppm) time series data during 1991-2000.
I would like to calculate CO2 growth rate /ppm.a-1
(is it derivative dt/dco2 ??)
Kindly can any one advise how to calculate above.
My data file looks like;
time, year, month, day, hour, min, sec, lat, long, height, CO2
Dear 'R' Users,
I have CO2 timeseries which I want to fit with fourth harmonic function and
then would like to compute residuals.
I tried with two option but not sure which one is correct, kindly any one
can help correcting me:
#
#I would like to fit a model with Fourth harmonic function as:
#m(
Dear R Users,
I have a CO2 time series. I want to fit this series seasonal cycle and trend
with fourth harmonic function,
and then compute residuals.
I am doing something like:
file<-read.csv("co2data.csv")
names(file)
attach(file)
fit<-lm(co2~1+time+I(time^2)+sin(2*pi*time)+cos(2*pi*time)+sin(4*
Hello,
I want to crate a blanck geographical map showing continent boundary of
region:
latitude = -5:35
longitude = 35:100
If we create data like:
lat= -5,0,5,10,..
long=35,40,45,50,.
Then how to map (long,lat) and create a map plot.
Many thanks,
Yogesh
[[alternative HTML
Dear R users,
I am comparing two data sets (CO2 observation vs. CO2 simulation, during
1993-2002).
In order to do it I am calculating Root-Mean-Square(RMS) difference
with following formula:
> sqrt(sum((observed_residual - simulated_residual)^2)/n) # 'n' is number of
observations
Residuals are co
rror bar on the ploted curve.
Is this the best way for such a calculation ?
Kindly help,
Best Regards,
Yogesh
On Wed, Sep 24, 2008 at 9:41 PM, Sarah Goslee <[EMAIL PROTECTED]>wrote:
> On Wed, Sep 24, 2008 at 8:43 AM, Yogesh Tiwari
> <[EMAIL PROTECTED]> wrote:
> > Sorry
Sorry for re-posting the question, I did not get any reply.
Kindly reply please if any one can.
###
Hello R users,
I have a montly time series over a several year period.
It's easy to compute a monthly climatology (12 values), Now, I would like to
calculate the corresponding standard deviation, i
Hello R users,
I have a montly time series over a several year period.
It's easy to compute a monthly climatology (12 values), Now, I would like to
calculate the corresponding standard deviation, ie the 12 values
calculated from the january values, february values, etc.
What's the best way for suc
Dear R users,
As per my attached script I am ploting monthly mean data which has missing
months.
But in the plot missing months are not shown (plot attached).
Kindly help how to show complete plot (Jan-Dec) with missing months.
Regards,
Yogesh
file<-read.csv("CRI-run109-run110.csv")
names(file)
a
Hello R Users,
I am using R on Windows,
I am ploting CO2 (350,380) variying with year(1993,2003)
I want to over-plot rainfall (10,250) varying with year(1993,2003) on axis-4
axis-1=year(1993,2003),
axis-2=CO2(350,380)
axis-3=None
axis-4=rainfall(10,250)
Kindly help how to over-plot another varia
Hello R Users,
I want to convert date (yr, mo, day, hr, min, sec) to decimal date,
for example:
Date (in six columns):
yr mo dy hr minsec
1993 02 13 05 52 00
Converted to Decimal date :
1993.3542
How to write a small code in R so I can convert six column date to
Hello,
I used 'arrows' function to plot the error bar but it dosen't work always.
For example:
Similar commands on two different data sets gives first result OK and second
result NOT (attached plot1 is OK and plot2 is NOT). Plots as well as data
file is attached here. Below is the script which I
Hi,
I am using R on Windows XP.
I am using 'arrows' funtion to plot the variance as error bar, BUT error
bar goes only one side of the data point, I need to plot the error bar on
both side of the data point (plot is attached), I am using following
commands to plot,
plot(file3$lat,file3$STotwoKm,
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