similar to: Change the names of a dataframe

Dear all: I have been thinking to import below one data file (.txt)into R by read.table(..,skip=1, header=T). But How can I deal with the repeated rows of TABLE NO.1 and names of data variables in the middle of this data file. The similar block will be repeated 100 times, here only show 4 of them and within each block, data records also can vary, here only paste 4 rows for example. I appreciate

Dear all: I have been thinking to import below one data file (.txt)into R by read.table(..,skip=1, header=T). But How can I deal with the repeated rows of TABLE NO.1 and names of data variables in the middle of this data file. The similar block will be repeated 100 times, here only show 4 of them and within each block, data records also can vary, here only paste 4 rows for example. I appreciate

Hola, Por favor, necesito insertar una fila debajo de las filas que tengan DV distinto de cero, pero no me deja insertar hasta el final de la tabla. Esta es mi tabla y este es el código con el que estoy apurado. C ID TIME DV AMT RATE CMT SS II EVID GRUPO VISITA DOSIS VECES FORMA NAP EDAD SEXO ALTURA PESO 11 0 0 3 0 1 1 12 1 3 0 3 2 1 0 77 2 147 74 11 1.417 0.001 0 0 2 0 0 0 3 0 3 2 1 0.001

All, I am constructing a pharmacokinetic dataset and have hit a snag. The dataset can be demonstrated in the following way: myData <- data.frame( evid = c(1, 0, 0, 0, 1, 0, 1, 1, 1, 0), time = 1:10, last.dose.time = c(1, 1, 1, 1, 5, 5, 7, 8, 9, 9) ) The evid field is an indicator variable for whether the associated observation is a dosing record (when it takes value 1) or an

Hi all, I have problems in a dataframe variables types. Look: from a loop function: for(...){ ... dados.fin <- rbind(dados.fin, c(L=j, A=j^2, Nsp=nsps, N=length(amosfin$SP), AmT="am",NAm=nam, AMST=amst)) dados.fin <- rbind(dados.fin, c(L=j, A=j^2,

Hi I am having some problems running a covariate analysis with my colleage using R with the NonMem program we are using for a graduate school project. R and NonMem run fine without adding in the covariates, but the program is giving us a problem when the covariate analysis is added. We think the problem is with the R code to run the covariate data analysis. We have the control stream, R code

Dear all, I can use the very nice drc package (multdrc()) to model and plot a dataframe containing dose and response values. I can also use predict.drc() to yield response values given a dose. I need to do the opposite, estimate a dose given the response. The general predict documentation seems to say that this is possible, but it does not appear that predict.drc has that capability.

Dear all, I constructed this function called my.boxplot.stats by replacing fivnum() with quantile() in function boxplot.stats(). So I can try different quantile methods in bwplot(). The problem is I couldn't pass different values to the "type" argument to my.boxplot.stats, which in turn is an argument in bwplot(). Now I just have to manually change the "type" value in

Hello, I'm working in adding support for 64-bit integers to my target. I'm using LLVM to decompose the 64-bit integer operations by using 32-bit registers wherever possible and emulating support where not. When looking at the bit shift decomposition I saw what seems to be a bug in the implementation. The affected function is ExpandShiftWithUnknownAmountBit in LegalizeIntegerTypes.cpp.

Hi Javier, > The problem is the implementation of the expansion. Perhaps an example > can help illustrate better. Take the case of a 64-bit integer shifted > left by say 6 bits and is decomposed using 32-bit registers. Because 6 > is less than the 32 (the register size) the resulting low part should be > equal to the source low part shifted left by 6 bits. The current >

hello, i rsynced a kvm vm from one host to another. i start virt-manager and tell virt-manager to use an existing disk. i set cpu to haswell that is on the host. configure before start is set, and i start "begin installation". I get this output by virt-manager: Unable to complete install: 'internal error: process exited while connecting to monitor: 2017-07-19T09:27:10.861928Z

I was trying to write a wrapper for number_to_currency to return currency in pounds. I used a helper class to do this. def number_to_pounds(amt) number_to_currency(amt, :unit => "£") end This works fine, but I am trying to understand why I can''t use a symbol to pass the values. I thought symbols were like pointers. (you now know I am a newbie). def

All, Is there an efficient way to apply say "mean" or "median" to a dataframe according to say all combinations of two variables in the dataframe? Below is a simple example and the outline of a "manual" solution that will work but is not very efficient (could also generalize this to a function). Searched the archives and docs but didn't see anything close to

On Dec 16, 2008, at 7:57 PM, Eli Friedman wrote: > On Tue, Dec 16, 2008 at 3:36 PM, Daniel M Gessel <gessel at apple.com> > wrote: >> I'm working on a Target that only uses the 5 lsbs of the shift >> amount. > > Okay, that's quite common... x86 is the same. > Thanks - yes, I'd heard rumors that x86 operates the same way. >> I only have 32

I buy flowers at a local market on a fairly regular basis. The flower vendors post their prices and if I want to buy only one or two flowers I will generally get the posted price. From time to time I want to buy large quantities of flowers, and sometimes a vendor will give me a better price than their posted price for the bulk order, but more often I have to offer them a higher price than the

See the bug for a reduction and the gimple trees. validate_arglist definately is rejecting the arglist in EmitBuiltinAlloca. (try: bool TreeToLLVM::EmitBuiltinAlloca(tree exp, Value *&Result) { tree arglist = TREE_OPERAND(exp, 1); if (!validate_arglist(arglist, INTEGER_TYPE, VOID_TYPE)) { debug_tree(arglist); return false; } Value *Amt = Emit(TREE_VALUE(arglist), 0); Amt =

Gday, This is a repost since I only had one direct reply and I remain mystified- This may be stupidity on my part but it may not be so simple. In brief, my problem is I'm not sure how to extract parameter values/effect sizes from a nonlinear regression model with a significant interaction term. My data sets are dose response curves (force and dose) for muscle that also have two

Hi Duncan, I don't know if the optimization would help us much. Our architecture performs integer shifts and subtractions at the same speed. I think the optimization is limited to the case where NVBits is a power of two. That is the case for all current value types but there's a separate thread where someone is proposing adding i20 as a native type. In your previous email you mentioned

On Tue, Dec 16, 2008 at 5:20 PM, Daniel M Gessel <gessel at apple.com> wrote: > The problem here is that it looks like LLVM is introducing an expansion that > assumes 32 bit shifts use more than 5 bits of the shift value. > I created a simple test function: > u64 mebbe_shift( u64 x, int test ) > { > if( test ) > x <<= 2; > return x; > } > I compile using

Hi, i have the following data.frame : > Data[1:3,] dt amt geoTree merTree ref 1 0.71002484 3.334570 A2b B2b 0 2 0.49074936 2.544464 A2b B1a 0 3 0.06223433 3.617133 A1b B2a 0 i want to convert it to a list, like this: list(Data[1,],Data[2,],Data[3,]) [[1]] dt amt geoTree merTree ref 1 0.07333459 0.969585 A2a