I need to create a pdf file with several chart created by ggplot2 arranged in a A4 paper, and repeat it 20-30 times.
I export the ggplot2 chart into ps file, and try to PostScriptTrace it as instructed in grImport, but it just keep giving me error of Unrecoverable error, exit code 1.
I ignore the error and try to import and xml file generated into R object, give me another error:
attributes construct error
Couldn't find end of Start Tag text line 21
Premature end of data in tag picture line 3
Error: 1: attributes construct error
2: Couldn't find end of Start Tag text line 21
3: Premature end of data in tag picture line 3
What's wrong here?
Thanks!
If you have no time to deal with Sweave, you could also write a simple TeX document from R after generating the plots, which you could later compile to pdf.
E.g.:
ggsave(p, file=paste('filename', id, '.pdf'))
cat(paste('\\includegraphics{',
paste('filename', id, '.pdf'), '}', sep=''),
file='report.pdf')
Later, you could easily compile it to pdf with for example pdflatex.
Related
I am trying to extract rivers from OSM. I downloaded the waterway GPKG where I believe there are over 21 million entries (see link) with a file size of 19.9 GB.
I have tried using the split vector layer in QGIS, but it would crash.
Was thinking of using GDAL ogr2ogr, but having trouble generating the command line.
I first isolated the multiline string with the following command.
ogr2ogr -f gpkg water.gpkg waterway_EPSG4326.gpkg waterway_EPSG4326_line -nlt linestring
ogrinfo water.gpkg INFO: Open of water.gpkg' using driver GPKG' successful. 1: waterway_EPSG4326_line (Line String)
Tried the following command below, but it is not working.
ogr2ogr -f GPKG SELECT * FROM waterway_EPSG4326_line - where waterway="river" river.gpkg water.gpkg
Please let me know what is missing or if there is any easy way to perform the task. I tried opening the file in R sf package, but it would not load after a long time.
Thanks
I want to edit the data in my fits file using astropy and then save it to its original file. Below is my code and the error message, please ignore if there's a redundant line because obviously I opened the file twice but I still get the error after deleting it.
file_list = sorted(glob.glob('*.fits')) #read in my three fits files
hdudata = np.full((3,720,1440), 0) # a test list to store the data
for im in range(len(file_list)):
hdu_list = fits.open(file_list[im])
hdudata[im] = hdu_list[0].data # read in the data from fits file
if im == 2: # I only want to change the last image
with fits.open(file_list[im], mode='update') as hdus:
hdu = hdus[0]
hdu.data = (hdudata[im-1] + hdudata[im])/2. # basically add two images
# and take the average
hdu.close() # this is required otherwise an error message pops up saying
# the next line cannot proceed as the file is being run
hdu.flush() # the error line
VerifyError:
Verification reported errors:
HDU 0:
'NAXIS1' card at the wrong place (card 4).
'NAXIS2' card at the wrong place (card 5).
'EXTEND' card at the wrong place (card 6).
Note: astropy.io.fits uses zero-based indexing.
I have only accessed and changed the data but why is the error taking place in my header, I met no problem reading the headers (though I didn't include in this code above) then why is it faulty when saving it?
I'm currently running a code and I'm always getting to the same end. I am trying to read an input file and it returns the error:
Fortran runtime error: End of file
In an other post they said to put in the iostat specifier so now my code looks like this:
INTEGER :: m
INTEGER :: st
Open(Unit = 13,action='read',file='Data_Inp.dat',status='old')
read (13,*, iostat = st) m
write (*,*) st
write (*,*) m
ALLOCATE(winkel(m),energie(m))
Do i = 1,m
read(13,*),winkel(i),energie(i)
End Do
And the input file looks like this:
12
-17.83 -0.019386527878
-15.83 -0.020125057233
-12.83 -0.020653853148
-11.83 -0.020840036028
-9.83 -0.020974157405
-8.83 -0.021056401707
-6.83 -0.021065517811
-5.83 -0.020992571816
-4.83 -0.020867828448
-1.83 -0.02069158012
Now the terminal prints a -1 for iostat and a constantly changing number for m.
If the first read command is causing an error, check for extraneous characters before or after "12" in your input file, especially if you created it on one platform (Windows?) and using it on another platform (Linux? Mac?)
I'm doing some optimization using a model whose number of constraints and variables exceeds the cap for the student version of, say, AMPL, so I've found a webpage [http://www.neos-server.org/neos/solvers/milp:Gurobi/AMPL.html] which can solve my type of model.
I've found however that when using a solver where you can provide a commandfile (which I assume is the same as a .run file) the documentation of NEOS server tells that you should see the documentation of the input file. I'm using AMPL input which according to [http://www.neos-guide.org/content/FAQ#ampl_variables] should be able to print the decision variables using a command file with the appearance:
solve;
display _varname, _var;
The problem is that NEOS claim that you cannot add the:
data datafile;
model modelfile;
commands into the .run file, resulting in that the compiler cannot find the variables.
Does anyone know of a way to work around this?
Thanks in advance!
EDIT: If anyone else has this problem (which I believe many people have based on my Internet search). Try to remove any eventual reset; command from the .run file!
You don't need to specify model or data commands in the script file submitted to NEOS. It loads the model and data files automatically, solves the problem, and then executes the script (command file) you provide. For example submitting diet1.mod model diet1.dat data and this trivial command file
display _varname, _var;
produces the output which includes
: _varname _var :=
1 "Buy['Quarter Pounder w/ Cheese']" 0
2 "Buy['McLean Deluxe w/ Cheese']" 0
3 "Buy['Big Mac']" 0
4 "Buy['Filet-O-Fish']" 0
5 "Buy['McGrilled Chicken']" 0
6 "Buy['Fries, small']" 0
7 "Buy['Sausage McMuffin']" 0
8 "Buy['1% Lowfat Milk']" 0
9 "Buy['Orange Juice']" 0
;
As you can see this is the output from the display command.
I'm making a voice recognition system and Julius shows not bad results in this work.
Words from sample .voca file are recognizing perfectly but how to place own words and transcriptions to the file?
I've tried VoxForge (http://www.voxforge.org/) last release and nightly builds for acoustic models with their vocabulary but I've got a lot a lot errors at julius start like this:
Error: voca_load_htkdict: line 19: triphone "r-d+v" not found
Error: voca_load_htkdict: line 19: triphone "d-v+aa" not found
Error: voca_load_htkdict: the line content was: 2 [AARDVARK] aa r d v aa r k
Error: voca_load_htkdict: begin missing phones
Error: voca_load_htkdict: r-d+v
Error: voca_load_htkdict: d-v+aa
Error: voca_load_htkdict: end missing phones
Error: init_voca: error in reading /usr/src/custom/julius/quickstart/grammar/sample.dict
ERROR: failed to read dictionary "/usr/src/custom/julius/quickstart/grammar/sample.dict"
ERROR: m_fusion: some error occured in reading grammars
ERROR: Error in loading model
Anyone knows the rules of word transcription for .voca files?
error reason:
julius optput these messages when your word dictionary contains words that are not trained in the Acoustic Model because the "voca_load_htkdict.c" tries to match the triphones in dict file with the triphone list in Acoustic Model, so when it does not find it, it shows this error and stops the program.
possible error solutions:
1. enable -forcedict option or uncomment it jconf file to Skip error words in dictionary and force running.
or..
2. map the "not found triphone" to the most close physical triphone in hmmlist file "tiedlist".
for example:
b-ey+t v-eh+t
The first column is the name of triphone (generated from your dictionary), and the second column is the name of the HMM actually defined in your AM.
but this solution can be done if the "not found triphones" are little, not too many.
the best solution is to not to include words in your dict file that are not in the A.M
note that the first two solutions are for testing julius only because for production or comercial projects you must train the acoustic model and language model with the same corpus.