similar to: Group by

Hi all, I have already some important variables in the current R session; and I wanted to load some rData file which was saved during the last R session using "save.image"... But how do I avoid the newly loaded data/variables messing with my existing data/variables? In Matlab, I can do: mynewdata=load("imagefromlastRsession.rData") and then I can access the variables

Dear users, I'll appreciate your help with this (hopefully) simple problem. I have a model object which was fitted to inputs X1, X2, X3. Now, I'd like to use this object to make predictions on a new data set where only X1 and X2 are available (just use the estimated coefficients for these variables in making predictions and ignoring the coefficient on X3). Here's my attempt but, of

Dear All,I encountered a problem when I use RWeka for prediction. Specifically, I use the following: res=J48(X1~.,data=mydata); predict(res), #it worked fine but when I tried to use a different data set, i.e. predict(res,newdata=mynewdata); all the predictions I get is 0, which apparently is problematic. What is weird is, if I use the old data, but use the newdata option, i.e.

Hi All! I'm trying to convert serial numbers in Excel to dates in R. For each single "thedate" entry, I get a correct answer. But if I try using the for loop, I get bizarre numbers in "mynewdata". thedate<-as.matrix(40548:40759,ncol=1) exdate<-function(){ mynewdate<-NULL for(i in 1:nrow(thedate)){

I've created an xyplot that I want to add a trend line to using a subset of the data. The xyplot is xyplot(X9444500~WY,data=mynewdata,xlim=c(1900,2020),ylab="TEST", xlab="",ylim=c(100,100000),scales=list(x=list(at=c(1900,1920,1940,1960,1980,2000,2020),axs="r",tck=-1),y=list(log=TRUE,tck=-100,at=c(100,1000,10000,100000))), panel=function(x,y,...) {

The real main differecne seems coming from "diffconfig.xml" When I put yours, Solr delete (!) schema.xml and create a "manage-schema" and starts complaining about useless types (tdates, booleans, etc..) that are not needed for Mail fileds When I put mine (from standard distribution of Arch), it keeps things as they are (yeah !), does not complains about those useless types

On 12/29/2018 4:49 PM, Joan Moreau wrote: > > Also : > > - Java is 10.0.2 > Same as me. > > - If i delete schema.xml but create only managed-schema, the solr > refuses to start with a java error "schema.xml missing" > Ok...so we need to do some more digging. How did you install Solr? (I downloaded a "binary" installation and unpacked it) How did

The first result show "no results" in dovecot for any search by header (I typed an email add in RoundCube search box, using Dovecot as back end, using Solr as own backend) So many efforts for crappy results. Can't we really revive Squat ? It is 2 lines of config, and no single problems On January 2, 2019 08:16:33 Joan Moreau via dovecot <dovecot at dovecot.org> wrote:

*I would like to plot some semi-periodic signals as a function of the phase expressed as a value in [0,2PI]* *The problem is that the phase data is reported as the residual of the division by 2PI.* *For instance if the phase is 10.359 rd then:* *15.359 / 6.283185 = 2*6.283185 + 2.79263* *then only the residual 2.79263 is stored. * *In order to plot a number of consecutive cycles I have to add

Hello, I have a dataframe w/ 3 variables of interest: transaction,date(tdate) & time(event_tim). How could I create a 4th variable (last_trans) that would flag the last transaction of the day for each day? In SAS I use: proc sort data=all6; by tdate event_tim; run; /*Create last transaction flag per day*/ data all6; set all6; by tdate event_tim; last_trans=last.tdate; Thanks

Hello, I am trying to re-code all my programs from SAS into R. In SAS I use the following code: proc sort data=upper; by tdate stock_symbol expire strike; run; data upper1; set upper; by tdate stock_symbol expire strike; if first.expire then output; rename strike=astrike; run; on the following data set: tdate stock_symbol expiration strike 9/11/2012 C 9/16/2012

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

How can I generate a vector of differences between each elemtn of an vector? i.e. a[i]=x[i]/x[i-1] -- View this message in context: http://n4.nabble.com/Deltas-or-changes-tp1585960p1585960.html Sent from the R help mailing list archive at Nabble.com.

1)I am wandering how the following SQL statement can be written in R language w/o using sqldf: create table detail2 as select a.* from detail a, pdetail b where a.TDATE=b.TDATE and (a.STIM >= b.STIM and a.STIM <=b.MAXTIM) 2) when try if then in R it only applies to the 1st row & not to whole dataset like in SAS. How do you get round that? in SAS: data summary; set all1;

Hi all .., I have a list of 7000 dataframes with similar column headers and I wanted to add a new column to each dataframe based on a certain condition which is the same for all dataframes. When I extract one dataframe and apply my code it works very well as follows :- First suppose this is my first dataframe in the list > OneDF <- Mylist[[1]] > OneDF ID Pdate

Hello all: I wrote a function: my.bastimeToSynoptic <- function(x) { f<-unlist(strsplit(as.character(x), " ")) hr<-unlist(strsplit(f[2], ":")) if(as.numeric(hr[1])<6) { synoptic<-"00" } else { synoptic<-as.integer(as.numeric(hr[1])/6)*6 } tdate<-paste(c(f[1],"

Hola a tod en s, sigo intentando representar una variable en función de meses. En la columna Mesos tengo los meses de la siguiente manera: 01/08/1996, 01/09/1996 etc. He probado con el siguiente comando: plot(Mesos, Serie01) obteniendo y tendría que obtener: [image: Imágenes integradas 2] Pero donde pone Observation Index, me gustaria tener los meses (para esta grafica he usado

I have a dataset w/ 184K obs & 16 variables. In SAS I proc sort nodupkey it in seconds by 11 variables. I tried to do the same thing in R using both the unique & then the !duplicated functions but it just hangs there & I get no output. Does anyone know how to solve this? This is how I tried to do it in R: detail3 <-

> On Apr 15, 2018, at 4:08 AM, Allaisone 1 <Allaisone1 at hotmail.com> wrote: > > > Hi all .., > > > I have a list of 7000 dataframes with similar column headers and I wanted to add a new column to each dataframe based on a certain condition which is the same for all dataframes. > > > When I extract one dataframe and apply my code it works very well as

This does what I was hoping it would: aggregate(tm[,-1],by=list(tm[,10]),FUN="mean") but I don't know what "tm[,-1]" means (well - the -1 bit anyway. Does it somehow means the whole matrix? Please don't tell me to check the manual - I tried and failed dismally... -- View this message in context: http://n4.nabble.com/tm-1-tp1588804p1588804.html Sent from the R