similar to: Mysql ERROR ???

Hi everyone, I''m Matteo, I''m Italian, so sorry for my bad English. I''ve just downloaded the "depot" examples, but I''ve an error: # script/server bash: script/server: /Users/dave/ruby1.8/bin/ruby: bad interpreter: No such file or directory matteod@bones:~/work/rails-code/depot8$ What''s wrong? Would you mind suggesting me how to fix this

Database structure as follows: t1 -> t2 -> t3 -> t4 select * from t1; +----+-------+-------+ | id | t2_id | t3_id | +----+-------+-------+ | 1 | 1 | null | | 2 | null | 1 | | 3 | null | 2 | +----+-------+-------+ select * from t2; +----+-------+ | id | title | +----+-------+ | 1 | "hat" | +----+-------+ select * from t3; +----+-------+ | id | t4_id |

Hi everyone, I''m Italian and sorry for my english mistakes... I''m developing a web-site using rubyonrails. It''s REALLY COOL! But I''m obliged to re-use some javascript functions. Do you know where I can get the right documentation (and examples) in order to integrate these two different environments? Thanks, Matteo. -- Posted via http://www.ruby-forum.com/.

Hi everyone, I wrote a post last week, but unfortunatly I had no time to try. First of all I''d like to thank you, for every your answer, and then I''m sorry for the late of my answer. I REALLY appreciated them. So I did as you told me, but this problem is still on. First of all, I changed the server script file as you told me, so I deleted the first line:

this is a clearer (I hope) version of an earlier post - My problem is formulating the random = argument to give estimates of all 9 random components for this kind of setup where there are (I think) 9 variance/covariance components ... Study.1 Study.2 ... Study.5 Treatment T1: subject: 1 2 3 4 5 6 ... 13 14 15 Treatment T2: subject: 16 17

Building of llvm with gcc-4.5.2-1 gives these warnings: 1) Building FileManagerTest "llvm[4]: Compiling FileManagerTest.cpp for Debug+Asserts build C:/Programming/VersionControl/llvm/tools/clang/unittests/Basic/FileManagerTest.cpp: In member function 'virtual void<unnamed>::FileManagerTest_NoVirtualDirectoryExistsBeforeAVirtualFileIsAdded_Test::TestBody()':

Dear All user, Hello, I'm a student and I have some trouble with the experimental (columns-experiments) design of my project. I use a randomized block design with 4 treatments including a control. For each treatment, I use 3 replicates and 3 blocks. The treatments are: -T1 = COD (300 mg/Lit) COD=chemical oxygen demand -T2 = COD (200 mg/Lit) -T3 = COD (100 mg/Lit) -T4 = COD (0 mg/Lit) as

#subject: type III sum of squares - anova() Anova() AnovaM() #R-version: 2.12.2 #Hello everyone, #I am currently evaluating experimental data of a two factor experiment. to illustrate de my problem I will use following #dummy dataset: Factor "T1" has 3 levels ("A","B","C") and factor "T2" has 2 levels "E" and "F". The

Dear all, I am having trouble creating summary tables using aggregate function. given the following table: Var1 Var2 Var3 dummy S1 T1 I 1 S1 T1 I 1 S1 T1 D 1 S1 T1 D 1 S1 T2 I 1 S1 T2 I 1 S1 T2 D 1 S1 T2 D 1 S2

I think this is a great patch but, in my view, an even better way to tackle the fundamental problem (the performance limitations) is to use a much faster checksum like xxhash, as has been suggested before: https://lists.samba.org/archive/rsync/2019-October/031975.html Cheers, Filipe On Mon, 18 May 2020 at 17:08, Jorrit Jongma via rsync <rsync at lists.samba.org> wrote: > This drop-in

I've done a decent size update of the OpenSSH portable from the upstream tree. There is an AES upgrade that needs to take place, but I need people to test and tell me what endedness changes need to be applied (if any). Attached is the patch. It is geared towards the latter snapshots..Unsure how it will patch (if at all) against 2.9pX series. Thanks. - Ben "This is dark day in

Dear R-List, I use Sweave (which is wonderful) and I have a problem with the strings when they are too long according to the width of the page. For example when I do in my .Rnw document : <<UsingRODBC,echo=TRUE>>= channel <- odbcConnect(dsn="database",uid="root",pwd="password") df1 <- sqlFetch(channel,"table1",rownames=TRUE) df2

I'm attempting to create an array of treatment comparisons for modelling data generation. This involves comparison of one treatment (c2) with another (c3), relative to a common comparator (c1). Attached code gives me the correct array but need to remove duplicates. Duplicates relate only to c2 and c3 such that I need to remove r3 because c2 and c3 are same as r1 with c2 and c3 swapped r5

Dear R-help Members, I am wondering if anyone think of the optimal way of computing for several numeric variable the difference between 2 levels of a factor. To be clear let's generate a simple data frame with 2 numeric variables collected for different subjects (ID) and 2 levels of a TIME factor (time of evaluation)

I have a multidimensional data which looks like the following: "S1-a" "S2-b" "S3-c" "S4-d" "S5-a" "S6-b" "S7-c" "S8-d" "T1-A" "T1-B" "T1-C" "T1-D" "T2-A" "T2-B" "T2-C" "T2-D" I read it from csv file and would like to have 16

I don't disagree that MD5 could (or even should) be replaced so it is no longer the bottleneck in several real-world cases (including mine). However this patch is not for MD5 performance, rather for the rolling checksum rsync uses to match blocks on existing files on both ends to reduce transfer size. On Mon, May 18, 2020 at 5:44 PM Filipe Maia via rsync <rsync at lists.samba.org>

now after this: df_both <- subset(df, grepl("t1", Command) & grepl("t2", Command)) I use factor to apply the subset to df but then the Command level becomes 0 df_both$Command=factor(df_both$Command) str(df_both) $ Protocol : Factor w/ 0 levels: Do you know what is the reason? Thanks for replying On Sunday, April 24, 2016 12:18 PM, jim

Hello fellow R people, I can not figure out a pretty way to use strplit with vectors Imagine that I got the following data from someone with ID's representing several factors ID data A1-B1-t1 0 A1-B1-t2 1 A1-B2-t1 5 A1-B2-t2 10 A1-B10-t1 0 A1-B10-t2 1 A1-B20-t1 5 A1-B20-t2 10 ... I would like to turn this dataframe to station substation time data A1 B1 t1 0 A1 B1 t2 1 A1 B2 t1 5

would it perhaps make sense to have a "--disable-sse2/3" commandline switch in rsync, too - at least for some timeframe until this is considered "rock solid" ? i dislike having automatic cpu feature switching code in a tool which needs to be reliable for me, this new optimization may have issues - and without such switch it can't be easily workarounded without replacing

Hi all! I want to generate a heat map from an all-vs-all comparison. I have the data, already scaled to 0-1. However, I have the values only for the comparisons in one way, and not for the comparisons between the same group (which are always 1), i.e. I have half the matrix and am missing the other half and the diagonal. What is a good way to get it into a form that ggplot2 can use for the