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...toy trabajando con un data.frame que tiene 892 filas y 9 columnas, el cual adjunto para que puedan probar. Cuando consulto por las filas que cumplen una cierta condicion, por ejemplo, ... graph[graph$NCar==c("160s"),] obtengo el siguiente conjunto de datos: sol con dia NCar NIns isom area rep tipo 1 con 0.001 1 160s 0 s 0.6083543 1 8 con 0.001 2 160s 0 s 0.6388484 1 <NA> 10 con 0.001 3 160s 0 s 0.6873404 1 <NA> 13 con 0.001 4 160s 0 s 0.6476428 1 <NA> 20 con 0.001 1 160s 0 s 0.6094205 2 <NA> 2...

...a que >> puedan probar. >> >> Cuando consulto por las filas que cumplen una cierta condicion, por >> ejemplo, ... >> >> graph[graph$NCar==c("160s"),] >> >> obtengo el siguiente conjunto de datos: >> >> sol con dia NCar NIns isom area rep tipo >> 1 con 0.001 1 160s 0 s 0.6083543 1 >> 8 con 0.001 2 160s 0 s 0.6388484 1 <NA> >> 10 con 0.001 3 160s 0 s 0.6873404 1 <NA> >> 13 con 0.001 4 160s 0 s 0.6476428 1 <NA> >> 20 con 0.001...

...s filas que cumplen una cierta condicion, por > > >> ejemplo, ... > > >> > > >> graph[graph$NCar==c("160s"),] > > >> > > >> obtengo el siguiente conjunto de datos: > > >> > > >> sol con dia NCar NIns isom area rep tipo > > >> 1 con 0.001 1 160s 0 s 0.6083543 1 > > >> 8 con 0.001 2 160s 0 s 0.6388484 1 <NA> > > >> 10 con 0.001 3 160s 0 s 0.6873404 1 <NA> > > >> 13 con 0.001 4 160s 0 s 0.647642...

...filas y 9 columnas, el cual adjunto para que > puedan probar. > > Cuando consulto por las filas que cumplen una cierta condicion, por > ejemplo, ... > > graph[graph$NCar==c("160s"),] > > obtengo el siguiente conjunto de datos: > > sol con dia NCar NIns isom area rep tipo > 1 con 0.001 1 160s 0 s 0.6083543 1 > 8 con 0.001 2 160s 0 s 0.6388484 1 <NA> > 10 con 0.001 3 160s 0 s 0.6873404 1 <NA> > 13 con 0.001 4 160s 0 s 0.6476428 1 <NA> > 20 con 0.001 1 160s 0 s 0...

Estimada comunidad, tengo el siguiente problema: Un data.frame con muchas filas de las que debo eliminar aquellas que cumplen varios criterios al mismo tiempo. Por ejemplo este data.frame: sol con dia NCar NIns isom area rep tipo 1 con 0.001 1 160s 0 s 6.083543e-01 1 2 con 0.001 1 161c 1 c 1.391274e-03 1 <NA> 3 con 0.001 1 161c 1 c 2.812804e-03 1 <NA> 4 con 0.001 1 180s 0 s 3.791027e-01 1 <NA> 619 lim 0.003 2 160s 0 s 5.723237e-0...

...; > >> Tengo que eliminar las filas cuya columna SOL dice LIM y cuya columna >> DIA dice 2. >> > > ​​Prueba con: > > >library(sqldf)​​ > >graph<-sqldf("select * from graph where sol='lim' and dia=2") > > ​ sol con dia NCar NIns isom area rep tipo > 1 lim 0.003 2 160s 0 s 0.572323700 1 <NA> > 2 lim 0.003 2 161t 1 t 0.010960770 1 <NA> > 3 lim 0.003 2 161c 1 c 0.003896926 1 <NA> > 4 lim 0.003 2 190s 0 s 0.013402530 1 <NA> > 5 lim 0.003 2 190s...

...gt; >> Cuando consulto por las filas que cumplen una cierta condicion, por > >> ejemplo, ... > >> > >> graph[graph$NCar==c("160s"),] > >> > >> obtengo el siguiente conjunto de datos: > >> > >> sol con dia NCar NIns isom area rep tipo > >> 1 con 0.001 1 160s 0 s 0.6083543 1 > >> 8 con 0.001 2 160s 0 s 0.6388484 1 <NA> > >> 10 con 0.001 3 160s 0 s 0.6873404 1 <NA> > >> 13 con 0.001 4 160s 0 s 0.6476428 1 <NA> &gt...

...(srcdir)/$(@D) \ -I$(srcdir)/../include @INCINTL@ 4. It is worth mentioning that there is a subtle interaction with (my particular version of) make. In some cases make should be replacing $(@D) with '.', but instead replaces it with '' (nothing). You end up with ... -I. -I -Isome/src/path -I/some/src/path/ ... then the -I -Isome/src/path is interpreted as a single '-I' with argument '-Isome/src/path'. To work around this, I make the following the adjustment (hack) to INCLUDES: INCLUDES = -I. -I$(@D) -I$(@D) -I$(srcdir) -I$(srcdir)/$(@D) \ -I$(srcdir)...

...d01.ogv I am using: ffmpeg2theora 0.27 - Xiph.Org libtheora 1.1 20090822 (Thusnelda) Here is the output of ffmpeg2theora: $ ffmpeg2theora /Users/michi/Desktop/test_vid01.mp4 Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/Users/michael/Desktop/test_vid01.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf52.78.1 Duration: 00:00:23.96, start: 0.000000, bitrate: 245 kb/s Stream #0.0(eng): Video: h264, yuv420p, 640x360, 241 kb/s, 25.04 fps, 25 tbr, 600 tbn, 1200 tbc 0:00:24.00 audio: 0kbps video: 151kb...

...tos desde el C16:0 j <- 1 while (tmp[j,3] != max(tmp[,3])) { j <- j + 1 } # para tomar los datos del archivo for (j in j:nrow(tmp)) { if (tmp[j,7] %in% c(16,18)) { # NCarb dat[k,5] <- tmp[j,7] # Nins dat[k,6] <- tmp[j,8] # isom tmp[j,9] <- as.character(tmp[j,9]) dat[k,7] <- tmp[j,9] #area dat[k,8] <- tmp[j,5] k <- k + 1 } j <- j + 1 } i <- i + 1 } # write.table(dat, "/home/neo/Documents/Dropbox2/Tesis/4tesis/2.objesp/experimento/expnov/dat.csv&quot...

When reading the documentation for the "sleep" data set in R, the impression is clear, this is an "independent groups" kind of design (two groups of 10 subjects each). However, when browsing the original article (referred to in the help file), my impression is quite clear, this is really a "repeated measures" kind of data (one group of 10 subjects, two

Hi I have found that utorrent doesn't display its systray icon unless I switch from dual screen to single screen. When I login to twinview the systray icon is missing but if I use nvidia-settings I can switch to a single screen. and back and have a systray icon. However if I restart utorrent it will be as before and no systray icon. Should I file a bug report here(bugzilla) or with

​Hola.​ > Tengo que eliminar las filas cuya columna SOL dice LIM y cuya columna > DIA dice 2. > ​​Prueba con: >library(sqldf)​​ >graph<-sqldf("select * from graph where sol='lim' and dia=2") ​ sol con dia NCar NIns isom area rep tipo 1 lim 0.003 2 160s 0 s 0.572323700 1 <NA> 2 lim 0.003 2 161t 1 t 0.010960770 1 <NA> 3 lim 0.003 2 161c 1 c 0.003896926 1 <NA> 4 lim 0.003 2 190s 0 s 0.013402530 1 <NA> 5 lim 0.003 2 190s 0 s 0.009274320 1...

...ilas cuya columna SOL dice LIM y cuya columna > >> DIA dice 2. > >> > > > > Prueba con: > > > > >library(sqldf) > > >graph<-sqldf("select * from graph where sol='lim' and dia=2") > > > > sol con dia NCar NIns isom area rep tipo > > 1 lim 0.003 2 160s 0 s 0.572323700 1 <NA> > > 2 lim 0.003 2 161t 1 t 0.010960770 1 <NA> > > 3 lim 0.003 2 161c 1 c 0.003896926 1 <NA> > > 4 lim 0.003 2 190s 0 s 0.013402530 1 <NA> > &...

...script should find them. GP> 4. It is worth mentioning that there is a subtle interaction with (my GP> particular version of) make. In some cases make should be replacing $(@D) GP> with '.', but instead replaces it with '' (nothing). You end up with GP> ... -I. -I -Isome/src/path -I/some/src/path/ ... Yes. This is one of the biggest problem with make taken from msys. -- With best regards, Anton mailto:asl at math.spbu.ru Monday, May 8, 2006 9:44:56 PM Faculty of Mathematics & Mechanics, Saint-Petersburg State University

...mail! And for my limited knowledge too! Would you please advise if there is any better way of tuning svm()? or what should i do to obtain a reasonable co-efficients for case (2)? Thank you so much!! Best Regards, Maggie ----------------------------------- Haitian Wang PhD Student in Statistics ISOM Department, HKUST, Hong Kong On Fri, Mar 20, 2009 at 4:44 PM, Gavin Simpson <gavin.simpson@ucl.ac.uk>wrote: > On Fri, 2009-03-20 at 12:39 +1100, Gad Abraham wrote: > > Maggie Wang wrote: > > > Hi, Dieter, Gad, and all, > > > > > > Thank you very much...

Hi everybody, I have several VMs running on Xenserver 6.5 I have 2 samba servers (1 DC & 1 Fileserver). They are both running Debian Linux 8.2 Jessie. I'm using the samba debian package (4.1.17) My VM has 8G RAM and 4 vCPU How can i test if the performances are quite good or not? with reading/writing Could I have better performance with the latest samba release? thanks Pierre --

...ng response reader structure more generic. mfreadwrite: Handle MEStreamTick event in source reader. mfreadwrite: Request one sample at a time from the stream. mfreadwrite: Implement async reader mode. mfreadwrite: Implement reader flushing. mfreadwrite: Autodetect ftyp(isom) as .mp4. mfplat: Add a helper to trace timestamp arguments. mfplat: Remove trace from MFGetSystemTime(). mf: Add a helper to trace timestamp arguments. mf: Fix string array access for registration data helpers. mf: Clean traces format for topology methods. mf: F...

Under Solaris 10 on a 4 core Sun Ultra 40 with 20GB RAM, I am setting up a Sun StorageTek 2540 with 12 300GB 15K RPM SAS drives and connected via load-shared 4Gbit FC links. This week I have tried many different configurations, using firmware managed RAID, ZFS managed RAID, and with the controller cache enabled or disabled. My objective is to obtain the best single-file write performance.