similar to: set dataframe field value from lookup table

Friends I can't quite find a direct answer to this question from the lists, so here goes: I have several dataframes, 200+ columns 2000+ rows. I wish to script some operations to perform on some of the variables (columns) in the data frames not knowing what the column number is, hence have to refer by name. I have variable names in a text file "varlist". So, something like this:

Hi! I need to conditionally update a dataframe field based on values in other fields and can't find even how to search for this right. Sorry if this has been asked before. But, specifically, I have a 490 X 221 dataframe and need to count, by row, how many fields in Dataframe$field_a...Dataframe$field_zz are non-null and enter this value in Dataset$ABCtaskNum. I have field name

--- This is still a WIP. Just wanted to get people's opinions. It's also not bullet-proof. Unfortunately nouveau_bo_wait [which is in turn called by nouveau_bo_map] can trigger a kick, so technically we have to have a lock around any nouveau_bo_map. My strategy here was to add locks around all the user-accessible APIs while leaving all the internal stuff unlocked. When waiting for a

Hi, I tried to do a nested Anova with the attached Data. My response variable is "survivors" and I would like to know the effect of (insect-egg clutch) "size", "position" (of clutch on twig) and "clone" (/plant genotype) on the survival of eggs (due to predation). Each plant was provided with three different sizes of clutches (45,15,5) and had

Hi! Would anyone know how to generate a list of variable names from a data frame by the class of the variable? I have large tables with different numbers of columns and am trying to script some rote analyses. There are several categorizing variables (factors) and many response variables (integers and numeric). I want to extract a list of classifier column names in one list and response variable

Hi I would like to write a script that reads a list of variable names. These variable names are some of the column headers in a data.frame. Then I want do a for-loop to execute various operations on the specified variables in the data.frame, but can't figure out how to do the necessary variable substitution. In bash (or C) I would use "$var", but there seems to be no equivalent in

Hi there! I have two date columns in a dataframe I need to selectively collapse based on missing values and which date comes first (imported from an text file). This is what I did: RHSSP$CT <- as.POSIXct(RHSSP$CT, format='%m/%d/%y %H:%M') RHSSP$MRI <- as.POSIXct(RHSSP$MRI, format='%m/%d/%y %H:%M') RHSSP$Scan <-

Hi, I am using 'igraph' to make some plots. The problem I got is that I don't know how to label the nodes with gene names. My sample code: ## suppose I have 100 gene (nodes) ## --------------------------------------------------------------------------- graph <- set.vertex.attribute(graph, "color", value=c(rep(c('green','red'),50))) graph <-

Hello, today I download poolalloc from " https://github.com/llvm-mirror/poolalloc". and I compiled it with LLVM3.3. Then when I excute "make",I get the error: ​I correct the path of callsite.h. there is another error: ​ so I wonder if I get the wrong version, and where should I get the right version compiler with LLVM3.3? -------------- next part -------------- An HTML

Hello, 1) I am interested in performing a limited-dependent variable linear regression. By this I mean a classical linear regression, but for the case where the values of the dependent variable cannot vary from -infinity to +infinity, but are truncated and so are between two finite limits L1 and L2. Does R1.7 have this capability? If so what is (are) the relevant command(s)? 2) I am also

Hi all. Is anyone else seeing issues with OpenSSH being slow on OSX High Sierra? In the interests of better test coverage I set one up, however the OpenSSH tests take much longer on it than on much older machines with much slower CPUs. It seems to be due to the vendor-supplied libcrypto being about 20x slower at bignum operations than nominally the same version of LibreSSL compiled locally. If

Hi all Asterisk is logging every call in /var/log/asterisk/cdr-csv/Master.csv in a format like this:: "","frisi","s","<last extension>","""005572908060frisi"" <friessnegger>","SIP/sebastianstrasse.at-1be7fab0","","BackGround",

Return the right osinfo short IDs for the majority of Windows versions since Windows XP. --- Changes from v1: - used the new win2k19 osinfo ID lib/inspect-osinfo.c | 63 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 63 insertions(+) diff --git a/lib/inspect-osinfo.c b/lib/inspect-osinfo.c index 816d317f1..e0d19c672 100644 --- a/lib/inspect-osinfo.c +++ b/lib/inspect-osinfo.c @@

Hello everybody, First a big thanks for tinc-vpn I am still using it next to wireguard and openvpn. I am having a setup where the tinc debian appliance is at 100% cpu load doing about 7.5MB/s. Compression = 9 PMTU = 1400 PMTUDiscovery = yes Cipher = aes-128-cbc How can I pick a cipher that is the fasted for my CPU and don't create a CPU bottleneck at 100%. Kind regards, Jelle de Jong

Hello all, I´m trying to study a factorial design, but I can´t understand why did Df, Sum Sq and Mean Sq of residuals alter when I Split the interaction? I think that Split the interaction must not alter the residuals. Am I doing something wrong? Could anyone help me? My data and functions I tried are: Y<-c(196,213,183, 192,253,199, 251,331,276,

On Tue, Jan 23, 2018 at 12:44:13AM +0200, Mykola Ivanets wrote: > Filter partitioned md devices out the same way as partitioned physical devices are filtered out > --- > daemon/listfs.ml | 22 +++++++++------------- > 1 file changed, 9 insertions(+), 13 deletions(-) > > diff --git a/daemon/listfs.ml b/daemon/listfs.ml > index 370ffb4..dc424f5 100644 > ---

Hi everyone, while trying to use 'segmented' (R i386 2.15.0 for Windows 32bit OS) to determine the breakpoint I got stuck with an error message and I can't find solution. It is connected with psi value, and the error says: Error in seg.glm.fit(y, XREG, Z, PSI, weights, offs, opz) : (Some) estimated psi out of its range This is the code I am using:

On 12 October 2015 at 16:29, Joachim Durchholz via llvm-dev <llvm-dev at lists.llvm.org> wrote: > I've been planning to switch to a new release whenever it's out. > What are the advantages of following trunk? Some people prefer following releases and having a higher cost when migrating, other people prefer to spread the cost over many months, but you'll have to resolve

Hello All, I have a toy dataframe like this. It has 8 columns separated by tab. Name SampleID Al1 Al2 X Y R Th rs191191 A1 A B 0.999 0.09 0.78 0.090 abc928291 A1 B J 0.3838 0.3839 0.028 0.888 abcnab A1 H K 0.3939 0.939 0.3939 0.77 rx82922 B1 J K 0.3838 0.393

hi there, i have a few questions about the correct interpretation of a paired t-test. (i don't think that this matters, but I'm using R 2.10.1 on Windows). to my questions: i've been using a lot of time about this minor concerns now and I hope you can help me... I use one- and two-sided t-tests. My questons are on one side about how R uses the hypothesis' and the second one