Search Results

Search found 41 results on 2 pages for 'melt'.

Page 1/2 | 1 2  | Next Page >

• I am getting an error when trying to use melt() on a dataframe containing Dates

  - by Dan

  I'd like to melt the dataframe so that in one column i have dates in a second i have username as the variable and finally the value. I'm getting this error: Error in as.Date.numeric(value) : 'origin' must be supplied and while I understand the error I'm not exactly sure how to get around it. A small sample of the data is: structure(list(created_at = structure(c(14007, 14008, 14009, 14010, 14011, 14012), class = "Date"), benjamin = c(16, 0, 0, 0, 0, 0), byron = c(0, 0, 0, 0, 0, 0), cameronc = c(0, 0, 0, 0, 0, 0), daniel = c(0, 0, 0, 0, 0, 0), djdiaz = c(0, 0, 0, 0, 0, 0), gene = c(16, 77, 64, 38, 72, 36), joel = c(0, 0, 0, 0, 0, 2), kerem = c(0, 0, 0, 0, 0, 0), sophia = c(0, 0, 0, 0, 0, 0), SuperMoonMan = c(0, 0, 0, 0, 0, 0)), .Names = c("created_at", "benjamin", "byron", "cameronc", "daniel", "djdiaz", "gene", "joel", "kerem", "sophia", "SuperMoonMan"), row.names = c(NA, 6L), class = c("cast_df", "data.frame")) Thanks for your help.

  Read the article

• cloud programming for OpenStack in C / C++

  - by Basile Starynkevitch

  (Sorry for such a fuzzy question, I am very newbie to cloud programming) I am interested in designing (and developing) a (free software) program in C or C++ (probably, most of it being meta-programmed, i.e. part of the C code code being generated). I am still in the thinking / designing phase. And I might perhaps give up. For reference, I am the main architect and implementor of GCC MELT, a domain specific language to extend the GCC compiler (the MELT language is translated to C/C++ and is bootstrapped: the MELT to C/C++ translator being written in MELT). And I am dreaming of extending it with some cloud computing abilities. But I am a newbie in cloud computing. (I am only interested in free-software, GPLv3 friendly, based cloud computing, which probably means openstack). I believe that "compiling on the cloud with some enhanced GCC" could make sense (for super-optimizations or static analysis of e.g. an entire Linux distribution, or at least a massive GCC compiled free software like Qt, GCC itself, or the Linux kernel). I'm dreaming of a MELT specific monitoring program which would store, communicate, and and enhance GCC compilation (extended by MELT). So the picture would be that each GCC process (actually the cc1 or cc1plus started by the gcc driver, suitably extended by some MELT extension) would communicate with some monitor. That "monitoring/persisting" program would run "on the cloud" (and probably manage some information produced by GCC e.g. on NoSQL bases). So, how should some (yet to be written) C program (some Linux daemon) be designed to be cloud-friendly? So far, I understood that it should provide some Web service, probably thru a RESTful service, so should use an HTTP server library like onion. And that OpenStack is able to start (e.g. a dozen of) such services. But I don't have a clear picture of what OpenStack brings. So far, I noticed the ability to manage (and distribute) virtual machines (with some Python API). It is less clear how can it distribute some ELF executable, how can it start it, etc. Do you have any references or examples of C / C++ programming on the cloud? How should a "cloud-friendly" (actually, OpenStack friendly) C/C++ server application be designed?

  Read the article

• Confirm delete of record, from method

  - by Melt

  Hi all, How can I pop up a message box to confirm a delete, from inside a method? Normally i would just use the following line in my button: OnClientClick="return confirm('Are you sure you want to delete this comment?');" However this delete method can also be called by a querystring, so I need the confirm message box functionality in the method, please? // delete comment method private void DeleteComment() { int commentid = Int32.Parse(Request.QueryString["c"]); // call our delete method DB.DeleteComment(commentid); } I can't click the button through code, because it doesn't fire the OnClientClick event btnDelete_Click(null, null); Regards Melt

  Read the article

• Where I can find a free pdf editor like nuance pdf

  - by melt

  Where I can find a free pdf converter/editor like "nuance pdf"? I do not want a trial version. I need to modify pdf form and be able to save it after (not just print it). Thanks,

  Read the article

• copy a text file in C#

  - by melt

  I am trying to copy a text file in an other text file line by line. It seems that there is a buffer of 1024 character. If there is less than 1024 character in my file, my function will not copie in the other file. Also if there is more than 1024 character but less a factor of 1024, these exceeding characters will not be copied. Ex: 2048 character in initial file - 2048 copied 988 character in initial file - 0 copied 1256 character in initial file - 1024 copied Thks! private void button3_Click(object sender, EventArgs e) { // écrire code pour reprendre le nom du fichier sélectionné et //ajouter un suffix "_poly.txt" string ma_ligne; const int RMV_CARCT = 9; //délcaration des fichier FileStream apt_file = new FileStream(textBox1.Text, FileMode.Open, FileAccess.Read); textBox1.Text = textBox1.Text.Replace(".txt", "_mod.txt"); FileStream mdi_file = new FileStream(textBox1.Text, FileMode.OpenOrCreate,FileAccess.ReadWrite); //lecture/ecriture des fichiers en question StreamReader apt = new StreamReader(apt_file); StreamWriter mdi_line = new StreamWriter(mdi_file, System.Text.Encoding.UTF8, 16); while (apt.Peek() >= 0) { ma_ligne = apt.ReadLine(); //if (ma_ligne.StartsWith("GOTO")) //{ // ma_ligne = ma_ligne.Remove(0, RMV_CARCT); // ma_ligne = ma_ligne.Replace(" ",""); // ma_ligne = ma_ligne.Replace(",", " "); mdi_line.WriteLine(ma_ligne); //} } apt_file.Close(); mdi_file.Close(); }

  Read the article

• CSS: Stopping div pushing content

  - by Melt

  Hi all, I'm trying to implement a CSS menu and am having a problem with the menu pushing the other content/divs down when the menu expands. http://bit.ly/bAcS56 Can anyone tell me what CSS I need to stop the main body content being pushed when the menu expands? Thanks

  Read the article

• How to fill many texbox by using loop function in VBA

  - by melt

  Hi ! I made a user interface in VBA with many textbox. I read an excel sheet and I put all the value of this one in all the textbox of my user inteface. So the user can modify the values and then save it in the excel sheet. Because we can't name the textbox like array (textBox(1), textbox(2)....) this is hard to fill the textbox by using a loop function. I tried to use tag or tabindex property but I don't find the good way to proceed .... Is someone know an easy way to solve this !!! Thanks

  Read the article

• Convert wide to long format in R

  - by Anthony

  My data has a long format similar to the one below: ID Language MotherTongue SpokenatHome HomeLang 1 English English English 1 French French 1 Polish Polish 2 Lebanese Lebanese Lebanese Labanese 2 Arabic Arabbic Here is the output I am looking for: ID Language1 Language2 Language 3 MotherTongue1 MotherTongue2 SpokenatHome1 HomeLan 1 English French Polish English Polish French English 2 Lebanese Arabic Labanese Arabic I'm using using the melt and dcast functions of the reshape2 package, but it does not work. Does anyone know how to do this? Thanks. df<-df[,c("OEN", "Langugae","MotherTongue", "SpokenatHome", "MainHomeLanguage")] dfl <- melt(df, id.vars=c("OEN", "Langugae"), measure.vars=c("MotherTongue", "SpokenatHome", "MainHomeLanguage"), variable.name="Language") dfw <- dcast(dfl, OEN ~ Langugae , value.var="value" )

  Read the article

• What Is Nuclear Meltdown?

  - by Gopinath

  Japan was first hit by a massive earth quake, then a ruthless tsunami washed away thousands of homes and now they fear the worst – meltdown of nuclear power stations in the quake hit year. Nuclear meltdowns are horrifying – remember the Chernobyl incident in Russia? The Chernobyl reactor meltdown released 400 times more radio active material than the atomic bombing of Hiroshima. The effects of nuclear meltdowns are beyond imagination of a common man, thousands of people loose their lives and many more lakhs of people suffer with radiation related diseases for many years. Nuclear Meltdowns are dangerous, but how do they happen? What causes a nuclear meltdown? In simple terms – Nuclear meltdown is an accident that happens due to severe overheating of a nuclear reactor and results in release of nuclear radiation into the environment.  How A Nuclear Meltdown Happens? According to Wikipedia A meltdown occurs when a severe failure of a nuclear power plant system prevents proper cooling of the reactor core, to the extent that the nuclear fuel assemblies overheat and melt. A meltdown is considered very serious because of the potential that radioactive materials could be released into the environment. The fuel assemblies in a reactor core can melt if heat is not removed. A nuclear reactor does not have to remain critical for a core damage incident to occur, because decay heat continues to heat the reactor fuel assemblies after the reactor has shut down, though this heat decreases with time. A core damage accident is caused by the loss of sufficient cooling for the nuclear fuel within the reactor core. The reason may be one of several factors, including a loss of pressure control accident, a loss of coolant accident (LOCA), an uncontrolled power excursion or, in some types, a fire within the reactor core. Failures in control systems may cause a series of events resulting in loss of cooling. Contemporary safety principles of defense in depth, ensure that multiple layers of safety systems are always present to make such accidents unlikely. Video – What Causes Nuclear Meltdown AlJazeera news has a good analysis on feared nuclear meltdown of Japan’s nuclear plants and also an animation on what causes Nuclear Meltdown. cc image credit: flickr/jtjdt This article titled,What Is Nuclear Meltdown?, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

  Read the article

• subtotals in columns usind reshape2 in R

  - by user1043144

  I have spent some time now learning RESHAPE2 and plyr but I still do not get it. This time I have a problem with (a) subtotals and (b) passing different aggregate functions . Here an example using data from the excellent tutorial on the blog of mrdwab http://news.mrdwab.com/ # libraries library(plyr) library(reshape2) # get data and add few more variables book.sales = read.csv("http://news.mrdwab.com/data-booksales") book.sales$Stock = book.sales$Quantity + 10 book.sales$SubjCat[(book.sales$Subject == 'Economics') | (book.sales$Subject == 'Management') ] <- '1_EconSciences' book.sales$SubjCat[book.sales$Subject %in% c('Anthropology', 'Politics', 'Sociology') ] <- '2_SocSciences' book.sales$SubjCat[book.sales$Subject %in% c('Communication', 'Fiction', 'History', 'Research', 'Statistics') ] <- '3_other' # to get to my starting dataframe (close to the project I am working on) book.sales1 <- ddply(book.sales, c('Region', 'Representative', 'SubjCat', 'Subject', 'Publisher'), summarize, Stock = sum(Stock), Sold = sum(Quantity), Ratio = round((100 * sum(Quantity)/ sum(Stock)), digits = 1)) #melt it m.book.sales = melt(data = book.sales1, id.vars = c('Region', 'Representative', 'SubjCat', 'Subject', 'Publisher'), measured.vars = c('Stock', 'Sold', 'Ratio')) # cast it Tab1 <- dcast(data = m.book.sales, formula = Region + Representative ~ Publisher + variable, fun.aggregate = sum, margins = c('Region', 'Representative')) Now my questions : I have been able to add the subtotals in rows. But is it possible also to add margins in the columns. Say for example, Totals of Stock for one Publisher ? Sorry I meant to say example total sold for all publishers There is a problem with the columns with “ratio”. How can I get “mean” instead of “sum” for this variable ? P.S: I have seen some examples using reshape. Will you recommend to use it instead of reshape2 (which seems not to include the functionalities of two functions).

  Read the article

• Group variables in a boxplot in R

  - by tao.hong

  I am trying to generate a boxplot whose data come from two scenarios. In the plot, I would like to group boxes by their names (So there will be two boxes per variable). I know ggplot would be a good choice. But I got errors which I could not figure out. Can anyone give me some suggestions? sensitivity_out1 structure(c(0.0522902104339716, 0.0521369824334004, 0.0520240345973737, 0.0519818337359876, 0.051935071418996, 0.0519089404325544, 0.000392698277338341, 0.000326135474295325, 0.000280863338343747, 0.000259631566041935, 0.000246594043996332, 0.000237923540393391, 0.00046732650331544, 0.000474448907808135, 0.000478287273678457, 0.000480194683464109, 0.000480631753078668, 0.000481760272726273, 0.000947965771207979, 0.000944821699830455, 0.000939631071343889, 0.000937186900570605, 0.000936007346568281, 0.000934756220144141, 0.00132442589501872, 0.00132658367774979, 0.00133334696220742, 0.00133622384928092, 0.0013381577476241, 0.00134005741746304, 0.0991622968751298, 0.100791399440082, 0.101946808417405, 0.102524244727408, 0.102920085260477, 0.103232984259916, 0.0305219507186844, 0.0304635269233494, 0.0304161055015213, 0.0303742106794513, 0.0303381888169022, 0.0302996157711171, 1.94268588634518e-05, 2.23991225564447e-05, 2.5756135487907e-05, 2.79997917298194e-05, 3.00753967077715e-05, 3.16270817369878e-05, 0.544701146678523, 0.542887331601984, 0.541632986366816, 0.541005610554556, 0.540617004208336, 0.540315690692195, 0.000453386694666078, 0.000448473414508756, 0.00044692043197248, 0.000444826296854332, 0.000445747996014684, 0.000444764303682453, 0.000127569551159321, 0.000128422491392669, 0.00012933662856487, 0.000129941842982939, 0.000129578971489026, 0.000131113075233758, 0.00684610571790029, 0.00686349387897349, 0.00687468164010565, 0.00687880720347743, 0.00688275579317197, 0.00687822247621936), .Dim = c(6L, 12L)) out2 structure(c(0.0189965816735366, 0.0189995096225103, 0.0190099362589894, 0.0190033523148514, 0.01900896721937, 0.0190099427513381, 0.00192043989797585, 0.00207303208721059, 0.00225931163225165, 0.0024049969048389, 0.00252310364086785, 0.00262940166568126, 0.00195164921633517, 0.00190079923515755, 0.00186139563778548, 0.00184188171395076, 0.00183248544676564, 0.00182492970673969, 1.83038731485927e-05, 1.98252671720347e-05, 2.14794764479231e-05, 2.30713122969332e-05, 2.4484220713564e-05, 2.55958833705284e-05, 0.0428066864455102, 0.0431686808647809, 0.0434411033615353, 0.0435883377765726, 0.0436690169266633, 0.0437340464360965, 0.145288252474567, 0.141488776430307, 0.138204532539654, 0.136281799717717, 0.134864952272761, 0.133738386148036, 0.0711728636959696, 0.072031388688795, 0.0727536853228245, 0.0731581966147734, 0.0734424337399303, 0.0736637270702609, 0.000605277151497094, 0.000617268349064968, 0.000632975679951382, 0.000643904422677427, 0.000653775268094148, 0.000662225067910141, 0.26735354610469, 0.267515415990146, 0.26753155165617, 0.267553498616325, 0.267532284594615, 0.267510330320289, 0.000334158771646756, 0.000319032383145857, 0.000306074699839994, 0.000299153278494114, 0.000293956197852583, 0.000290171804454218, 0.000645975219899115, 0.000637548672578787, 0.000632375486965757, 0.000629579821884212, 0.000624956458229123, 0.000622456283217054, 0.0645188290106884, 0.0651539609630352, 0.0656417364889907, 0.0658996698322889, 0.0660715073023965, 0.0662034341510152), .Dim = c(6L, 12L)) Melt data: group variable value 1 1 PLDKRT 0 2 1 PLDKRT 0 3 1 PLDKRT 0 4 1 PLDKRT 0 5 1 PLDKRT 0 6 1 PLDKRT 0 Code: #Data_source 1 sensitivity_1=rbind(sensitivity_out1,sensitivity_out2) sensitivity_1=data.frame(sensitivity_1) colnames(sensitivity_1)=main_l #variable names sensitivity_1$group=1 #Data_source 2 sensitivity_2=rbind(sensitivity_out1[3:4,],sensitivity_out2[3:4,]) sensitivity_2=data.frame(sensitivity_2) colnames(sensitivity_2)=main_l sensitivity_2$group=2 sensitivity_pool=rbind(sensitivity_1,sensitivity_2) sensitivity_pool_m=melt(sensitivity_pool,id.vars="group") ggplot(data = sensitivity_pool_m, aes(x = variable, y = value)) + geom_boxplot(aes( fill= group), width = 0.8) Error: "Error in unit(tic_pos.c, "mm") : 'x' and 'units' must have length > 0" Update Figure out the error. I should use geom_boxplot(aes( fill= factor(group)), width = 0.8) rather than fill= group

  Read the article

• Causing a hardware failure via a software program?

  - by user1413

  I want to destroy my Windows PC by running a software program. By destroy I mean: Causing the CPU or RAM to melt, causing the hard drive to crash, etc. Is there a way to do this?

  Read the article

• problem with css or browser

  - by ntechi

  i got an image behind my google adsense, the css code of that background image is: background: transparent url("http://i53.tinypic.com/2lu8jgg.jpg") repeat-x left bottom; padding-bottom:10px; padding-top:0px; height: 352px; padding-bottom:5 0px; padding-left:50px; padding-right:50px; padding-top:280px; width: 350px; this works fine in mozilla firefox, but when i open my website in google chrome browser the background image is crapped, it is spread in the entire background, whereas it works fine in mozilla and rock-melt, whats the actual problem my website is: http://mbas.in/

  Read the article

• Join and sum not compatible matrices through data.table

  - by leodido

  My goal is to "sum" two not compatible matrices (matrices with different dimensions) using (and preserving) row and column names. I've figured this approach: convert the matrices to data.table objects, join them and then sum columns vectors. An example: > M1 1 3 4 5 7 8 1 0 0 1 0 0 0 3 0 0 0 0 0 0 4 1 0 0 0 0 0 5 0 0 0 0 0 0 7 0 0 0 0 1 0 8 0 0 0 0 0 0 > M2 1 3 4 5 8 1 0 0 1 0 0 3 0 0 0 0 0 4 1 0 0 0 0 5 0 0 0 0 0 8 0 0 0 0 0 > M1 %ms% M2 1 3 4 5 7 8 1 0 0 2 0 0 0 3 0 0 0 0 0 0 4 2 0 0 0 0 0 5 0 0 0 0 0 0 7 0 0 0 0 1 0 8 0 0 0 0 0 0 This is my code: M1 <- matrix(c(0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0), byrow = TRUE, ncol = 6) colnames(M1) <- c(1,3,4,5,7,8) M2 <- matrix(c(0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0), byrow = TRUE, ncol = 5) colnames(M2) <- c(1,3,4,5,8) # to data.table objects DT1 <- data.table(M1, keep.rownames = TRUE, key = "rn") DT2 <- data.table(M2, keep.rownames = TRUE, key = "rn") # join and sum of common columns if (nrow(DT1) > nrow(DT2)) { A <- DT2[DT1, roll = TRUE] A[, list(X1 = X1 + X1.1, X3 = X3 + X3.1, X4 = X4 + X4.1, X5 = X5 + X5.1, X7, X8 = X8 + X8.1), by = rn] } That outputs: rn X1 X3 X4 X5 X7 X8 1: 1 0 0 2 0 0 0 2: 3 0 0 0 0 0 0 3: 4 2 0 0 0 0 0 4: 5 0 0 0 0 0 0 5: 7 0 0 0 0 1 0 6: 8 0 0 0 0 0 0 Then I can convert back this data.table to a matrix and fix row and column names. The questions are: how to generalize this procedure? I need a way to automatically create list(X1 = X1 + X1.1, X3 = X3 + X3.1, X4 = X4 + X4.1, X5 = X5 + X5.1, X7, X8 = X8 + X8.1) because i want to apply this function to matrices which dimensions (and row/columns names) are not known in advance. In summary I need a merge procedure that behaves as described. there are other strategies/implementations that achieve the same goal that are, at the same time, faster and generalized? (hoping that some data.table monster help me) to what kind of join (inner, outer, etc. etc.) is assimilable this procedure? Thanks in advance. p.s.: I'm using data.table version 1.8.2 EDIT - SOLUTIONS @Aaron solution. No external libraries, only base R. It works also on list of matrices. add_matrices_1 <- function(...) { a <- list(...) cols <- sort(unique(unlist(lapply(a, colnames)))) rows <- sort(unique(unlist(lapply(a, rownames)))) out <- array(0, dim = c(length(rows), length(cols)), dimnames = list(rows,cols)) for (m in a) out[rownames(m), colnames(m)] <- out[rownames(m), colnames(m)] + m out } @MadScone solution. Used reshape2 package. It works only on two matrices per call. add_matrices_2 <- function(m1, m2) { m <- acast(rbind(melt(M1), melt(M2)), Var1~Var2, fun.aggregate = sum) mn <- unique(colnames(m1), colnames(m2)) rownames(m) <- mn colnames(m) <- mn m } BENCHMARK (100 runs with microbenchmark package) Unit: microseconds expr min lq median uq max 1 add_matrices_1 196.009 257.5865 282.027 291.2735 549.397 2 add_matrices_2 13737.851 14697.9790 14864.778 16285.7650 25567.448 No need to comment the benchmark: @Aaron solution wins. I'll continue to investigate a similar solution for data.table objects. I'll add other solutions eventually reported or discovered.

  Read the article

• Use a Crayon to Enhance Engraved Lettering on Electronics

  - by ETC

  Whether you’re making a new electronics project or trying to add definition to an old piece, you can use a simple crayon to make etched logos and text pop. At RedToRope, the DIY and project blog of electrical engineering student and tinkering James Williamson, James shares how he used a crayon and a little heat to make the lettering and symbols on his electronics project really pop. It’s an old trick I’ve used many times over the years with firearms but had never thought to use with engraved text on electronics or other devices. You rub the wax into the crevices of the etching, heat the object to melt and level the wax, and then give it a final cleanup buff. Hit up the link below to see the final results of his project as well as all the steps he went through to make the final product look so professional. Laser Engraved, Wax Filled, High Contrast Panels for Electronics Projects [RedToRope via Hacked Gadgets] Latest Features How-To Geek ETC What Can Super Mario Teach Us About Graphics Technology? Windows 7 Service Pack 1 is Released: But Should You Install It? How To Make Hundreds of Complex Photo Edits in Seconds With Photoshop Actions How to Enable User-Specific Wireless Networks in Windows 7 How to Use Google Chrome as Your Default PDF Reader (the Easy Way) How To Remove People and Objects From Photographs In Photoshop Make Efficient Use of Tab Bar Space by Customizing Tab Width in Firefox See the Geeky Work Done Behind the Scenes to Add Sounds to Movies [Video] Use a Crayon to Enhance Engraved Lettering on Electronics Adult Swim Brings Their Programming Lineup to iOS Devices Feel the Chill of the South Atlantic with the Antarctica Theme for Windows 7 Seas0nPass Now Offers Untethered Apple TV Jailbreaking

  Read the article

• Is it just me or is this a baffling tech interview question

  - by Matthew Patrick Cashatt

  Background I was just asked in a tech interview to write an algorithm to traverse an "object" (notice the quotes) where A is equal to B and B is equal to C and A is equal to C. That's it. That is all the information I was given. I asked the interviewer what the goal was but apparently there wasn't one, just "traverse" the "object". I don't know about anyone else, but this seems like a silly question to me. I asked again, "am I searching for a value?". Nope. Just "traverse" it. Why would I ever want to endlessly loop through this "object"?? To melt my processor maybe?? The answer according to the interviewer was that I should have written a recursive function. OK, so why not simply ask me to write a recursive function? And who would write a recursive function that never ends? My question: Is this a valid question to the rest of you and, if so, can you provide a hint as to what I might be missing? Perhaps I am thinking too hard about solving real world problems. I have been successfully coding for a long time but this tech interview process makes me feel like I don't know anything. Final Answer: CLOWN TRAVERSAL!!! (See @Matt's answer below) Thanks! Matt

  Read the article

• Disable discrete AMD GPU

  - by Smajl

  My notebook has two graphic cards and it suffers from severe overheating after installing Ubuntu (no problem with Windows 7 on the same machine). I figured out that the problem may be in the graphic card and I would like to disable the discrete one. I followed some tutorials on this topic (for example http://planetoss.com/articles/how-to-disable-the-discrete-amd-graphics-card-in-linux/). But the problem is, that after executing the commands, nothing really happens and both GPU are still running. Here is what I have done: smajl@smajl-mini:~$ sudo chown smajl /sys/kernel/debug/vgaswitcheroo/switchsmajl@smajl-mini:~$ echo IGD > /sys/kernel/debug/vgaswitcheroo/switch smajl@smajl-mini:~$ sudo cat /sys/kernel/debug/vgaswitcheroo/switch 0:IGD:+:DynPwr:0000:01:05.0 1:DIS-Audio: :Pwr:0000:02:00.1 2:DIS: :DynPwr:0000:02:00.0 smajl@smajl-mini:~$ echo OFF > /sys/kernel/debug/vgaswitcheroo/switch smajl@smajl-mini:~$ sudo cat /sys/kernel/debug/vgaswitcheroo/switch 0:IGD:+:DynPwr:0000:01:05.0 1:DIS-Audio: :Pwr:0000:02:00.1 2:DIS: :DynPwr:0000:02:00.0 What am I missing here? Also, more on the overheating topic: 1) Installed TLP 2) updated system 3) set power setting mode to "power save" ...and nothing helps Tried same thing with Linux Mint without success. Is there anything else to try if I manage to disable the second GPU and the problem preserves? Otherwise I would have to get back to win in order not to melt my laptop.. :-/

  Read the article

• Can I use Win32 FreeType without the .dll file?

  - by Khatharr

  Hello. I'm teaching myself OpenGL and I'm implementing ttf text rendering using FreeType 2. I downloaded the library from http://gnuwin32.sourceforge.net/packages/freetype.htm and after a couple of minor issues I got it running properly. The thing that's bothering me is that I have to place a copy of freetype6.dll in the directory with my executable in order for the thing to run. I generally try to avoid a bunch of unnecessary dll files floating around. I'm sort of new to windows programming, but from what I understand most libraries can be built to run fully from a lib rather than requiring a dll at runtime. Looking through the documentation from FT is making my brain melt, so I thought I would ask here to see if there were any devs that have worked with FT before and if so, do they know how to build the library such that no dll is required at runtime. Thank you in advance for any advice or support.

  Read the article

• Changing text size on a ggplot bump plot

  - by Tom Liptrot

  Hi, I'm fairly new to ggplot. I have made a bumpplot using code posted below. I got the code from someones blog - i've lost the link.... I want to be able to increase the size of the lables (here letters which care very small on the left and right of the plot) without affecting the width of the lines (this will only really make sense after you have run the code) I have tried changing the size paramater but that always alter the line width as well. Any suggestion appreciated. Tom require(ggplot2) df<-matrix(rnorm(520), 5, 10) #makes a random example colnames(df) <- letters[1:10] Price.Rank<-t(apply(df, 1, rank)) dfm<-melt(Price.Rank) names(dfm)<-c( "Date","Brand", "value") p <- ggplot(dfm, aes(factor(Date), value, group = Brand, colour = Brand, label = Brand)) p1 <- p + geom_line(aes(size=2.2, alpha=0.7)) + geom_text(data = subset(dfm, Date == 1), aes(x = Date , size =2.2, hjust = 1, vjust=0)) + geom_text(data = subset(dfm, Date == 5), aes(x = Date , size =2.2, hjust = 0, vjust=0))+ theme_bw() + opts(legend.position = "none", panel.border = theme_blank()) p1 + theme_bw() + opts(legend.position = "none", panel.border = theme_blank())

  Read the article

• How do you balance business process changes against the challenges of changing software?

  - by Achilles

  In my admittedly young career I've found myself writing code to support quirky business rules and processes. Inevitably these changes were always in some massively difficult code base and caused many issues. My question has a couple of parts: While software is a tool for businesses to make their lives easier, at what point do we as developers suggest a change in business process rather than in the software as the "magic bullet" to solve a particular problem. How do we as developers evangelize a certain level of reverence for the software as well as the difficulty involved in making changes simply to support the quirks of the business? I understand that these changes in business processes promote our industry, but in an analogy my father would understand: Which is easier, to melt down a hammer to forge a screwdriver to drive screws or to simply use nails since your hammer is already awesome...?

  Read the article

• R ggplot barplot; Fill based on two separate variables

  - by user1476968

  A picture says more than a thousand words. As you can see, my fill is based on the variable variable. Within each bar there is however multiple data entities (black borders) since the discrete variable complexity make them unique. What I am trying to find is something that makes each section of the bar more distinguishable than the current look. Preferable would be if it was something like shading. Here's an example (not the same dataset, since the original was imported): dat <- read.table(text = "Complexity Method Sens Spec MMC 1 L Alpha 50 20 10 2 M Alpha 40 30 80 3 H Alpha 10 10 5 4 L Beta 70 50 60 5 M Beta 49 10 80 6 H Beta 90 17 48 7 L Gamma 19 5 93 8 M Gamma 18 39 4 9 H Gamma 10 84 74", sep = "", header=T) library(ggplot2) library(reshape) short.m <- melt(dat) ggplot(short.m, aes(x=Method, y= value/100 , fill=variable)) + geom_bar(stat="identity",position="dodge", colour="black") + coord_flip()

  Read the article

• How can I make a group bar plot in ggplot2?

  - by maximusyoda

  I have four of these kind of dataframes each with a different name (Apple,Ball,Cat) with different values of frequency but same 4 season names Seasons Frequency DJF 9886 JJA 5408 MAM 12876 SON 6932 And I am trying to make a group bar plot. The graph I'm looking for is like this, where c,d,e,f will be the names - Apple, Ball, Cat. Y-axis will be Frequency Each group will have 4 bars: DJF,JJA,MAM,SON Filled by seasons The number of Frequency written above the bar plot. How can I format the data to make it suitable for ggplot (cbind, melt etc) and use it in ggplot?

  Read the article

• Issue with plotting daily data using ggplot

  - by user1723765

  I tried to plot daily data from 9 variables in ggplot, but the graph I get cannot handle the date variable properly. The x axis is unreadable and its impossible to read the plot. I'm guessing there's an issue with the handling of dates. Here's the data: https://dl.dropbox.com/u/22681355/su.csv Here's the code I've been using: su=read.csv(file="su.csv", head=TRUE) meltdf=melt(su) ggplot(meltdf, aes(x=Date, y=value, colour=variable, group=variable))+geom_line() and here's the output: https://dl.dropbox.com/u/22681355/output.jpg here's the same plot done in excel, why does it look completely different?

  Read the article

• plot only x and y axis (no box) in ggplot2

  - by Tyler Rinker

  The convention of some journals is to show only the x and y axis in a plot not a box around the entire plot area. How can I achieve this in ggplot2? I tried theme_minimal_cb_L from HERE but it seems to erase the entire box around the plot (does not leave the x and y axis) as seen here: Here's the code I'm using: dat <- structure(list(x = c(0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1, 1.05, 1.1, 1.15, 1.2, 1.25, 1.3), y1 = c(34, 30, 26, 23, 21, 19, 17, 16, 15, 13, 12, 12, 11), y2 = c(45, 39, 34, 31, 28, 25, 23, 21, 19, 17, 16, 15, 14)), .Names = c("x", "y1", "y2"), row.names = c(NA, -13L), class = "data.frame") library(reshape2); library(ggplot2) dat2 <- melt(dat, id='x') theme_minimal_cb_L <- function (base_size = 12, base_family = "", ...){ modifyList (theme_minimal (base_size = base_size, base_family = base_family), list (axis.line = element_line (colour = "black"))) } ggplot(data=dat2, aes(x=x, y=value, color=variable)) + geom_point(size=3) + geom_line(size=.5) + theme_minimal_cb_L()

  Read the article

• Anova test in the loop and outputing the p-value in separate column

  - by Juanhijuan

  Once again I'm trying to get an answer. I am already stuck for like 5h with that so that's why I keep trying to get an answer. That's my data: id Sequence variable value 75 AAAAGAAAVANQGKK BiotinControl1_2 3893050.50 192 AAAAGAAAVANQGKK BiotinControl1_2 900604.61 3770 AAFTKLDQVWGSE BiotinControl1_2 90008.14 The code which I am trying to use to calculate the p-value: My Code: tbl_anv <- tbl_all_onlyK[,c("id", "BiotinControl1_2", "BiotinControl2", "BiotinControl3", "BiotinTreatment1_2", "BiotinTreatment2", "BiotinTreatment3", "Sequence")] tbl_reo <- melt(tbl_anv, measure.vars=2:7) set.seed(1) vars <- c("id", "BiotinControl1_2", "BiotinControl2", "BiotinControl3", "BiotinTreatment1_2", "BiotinTreatment2", "BiotinTreatment3", "Sequence") tbl_reo <- as.data.frame(tbl_reo) by(tbl_reo,tbl_reo$Sequence,function(x){ anova(lm(value ~ variable, data = x))$"Pr(>F)"[1] }) An error ocurs: There were 50 or more warnings (use warnings() to see the first 50) Anyway, how can I do that and export the p-value in the separate column. That's what I tried to do on my own: aov_test <- by(tbl_reo,tbl_reo$Sequence,function(x){ anova(lm(value ~ variable, data = x))$"Pr(>F)"[1] }) tbl_reo[,5] <- aov.test[[1]]$'Pr(>F)'[1]

  Read the article

1 2  | Next Page >