similar to: cbind order

hello How can I change a vector's float value from ("1.085714e-01") format to a simpler format (like 0.1xxx). regards -- Ahmet Temiz Jeo. M?h. Afet ??leri Gen. Md.l??? Deprem Ar. D. Ahmet Temiz Geo. Eng. General Dir. of Disaster Affairs -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

Hello I was wondering if it was possible to enter R commands from an external text file. If it is possible, it will be easy for repetetive tasks. Does anyone have an idea ? thanks in advance Ahmet Temiz TURKEY ______________________________________ ______________________________________ The views and opinions expressed in this e-mail message are ...{{dropped}}

Hello 1* I need to use logistic regression. But my data file is very huge( appx. 4 million line). R doesn't handle such a file. What can I do ? ------------------------ 2* So, I thought whether I could perform sta. analyses on summarised data (count of yes/no values) of the huge file. Normally, summarised data file short and R could handle it. Then I used this command. > lo

hello I confused one point in matrix constructed with cbind I want to subselect 6. column > 1000 what should the syntax be ? regards -- Ahmet Temiz Jeoloji M?h. Afet ??leri Genel M?d?rl??? Deprem Ara?t?rma Dairesi Tel: (312) 287 89 51 veya (312) 287 26 80/1547 Faks: (312) 287 89 51 E. Posta: temiz at deprem.gov.tr www.deprem.gov.tr Ahmet Temiz Geological Eng. General Directorate of

hello I need basic explanation of variogram and how to use in R. I will appreciate if you supply them. regards Ahmet Temiz ______________________________________ XamimeLT - installed on mailserver for domain @deprem.gov.tr Queries to: postmaster at deprem.gov.tr ______________________________________ The views and opinions expressed in this e-mail message are ...{{dropped}}

hello I have spatial data which contain number of landslide presence cells with respect to landslide predictors and number of landslide absence cells with respect to same predictors. predictors are essentially categorical data. I tried logistic regression. But because of providing interaction capability of predictors, I want to use log-linear method. I hesitate the way I should use

hello when I follow this procedure: ~~~~~~~~~~ rS <- "http://godel.cs.bilgi.edu.tr/mirror/cran/src/contrib/" install.packages(c("Matrix"), repos=rS, dependencies=TRUE) ~~~~~~~~~~ installation gives this error: ~~~~~~~~~~~~~ make: *** [Matrix.so] Error 1 ERROR: compilation failed for package 'Matrix' ** Removing '/usr/local/lib/R/site-library/Matrix' **

hello I want to know about therotical basis of Kriging in elemantary level. I will appreciate if anyone sends me address,link,e-documents, etc.. kind regards -- Ahmet Temiz General Directory of Disaster Affairs Ankara TURKEY ______________________________________ Inflex - installed on mailserver for domain @deprem.gov.tr Queries to: postmaster at deprem.gov.tr

hello I would like to know which package contains stepAIC function ? regards -- Ahmet Temiz Jeoloji M?h. Afet ??leri Genel M?d?rl??? Deprem Ara?t?rma Dairesi Tel: (312) 287 89 51 veya (312) 287 26 80/1547 Faks: (312) 287 89 51 E. Posta: temiz at deprem.gov.tr www.deprem.gov.tr Ahmet Temiz Geological Eng. General Directorate of Disaster Affairs Earthquake Research Department Phone: +90 (312)

hello I built logistic regression model. To model check I used stepAIC. But I don't know how it is interpreted . I could not any find any explanation about it For instance which model is preferable ? What are the critarias to choose beter model I will appreciate if you give me an explanation ? models --------- > lo1.step$anova Stepwise Model Path Analysis of Deviance Table Initial

hello when I entered following command, I got NA values for some catagories. > tapply(slp_jeo2$slp,slp_jeo2$jeo,mean ) 999 Ca Cka DCy Jh JKi Kk 14.06665 NA 14.60445 NA NA NA NA NA KTa KTac Ku Kua Kus Ky Kyk ODe NA NA NA NA NA NA

hello I want to have subset of my dataset that is equal to 0. But, I got this error message. > hs2=hs[hs$hey60==0 ,] Error in hs[hs$hey60 == 0, ] : (subscript) logical subscript too long regards -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

hello which package do you recommend for spatial autocorrelation ? regards Ahmet Temiz ______________________________________ Inflex - installed on mailserver for domain @deprem.gov.tr Queries to: postmaster at deprem.gov.tr ______________________________________ The views and opinions expressed in this e-mail message are ...{{dropped}}

hello I try to build DEM using Krig function of fields package. And I get this error message. here is the procedure I followed: > dt<-read.table("/usr/local/bartin/stat/topostat1",header=F,sep="|") > names(dt) <-c("x","y","z") > coord<-cbind(dt$x,dt$y) > elevation<-cbind(dt$z) >

Hola esta es una solución library(data.table) library(stringr) dt <- data.table( V1a = sample(c("1","0"), 10, TRUE) , V1b = sample(c("1","0"), 10, TRUE) , V2a = sample(c("1","0"), 10, TRUE) , V2b = sample(c("1","0"), 10, TRUE) , V3a =

Hello I carried out a logistic regression and found predicted values. Then I want to see both predictors (var1,var2..) and predicted values in same matrix. In other words, I need to know each combinations and predicted values. I used: cbind(var1,var2,var3,var4,predict(glm.obj,type="resp")) I got a somewhat strange result: var1 var2 var3 var4 var5 var6 predicted vals ------

Hello I will make an interpolation of data which represents azimuth direction ( angle from north in clockwise direction) values. But there is a problem. Say, for instance, while 1 and 359 indicate somewhat same direction, interpolation puts values in the range from 1 to 359. What can I do to solve the problem ? Anything you offer ? thanks in advance Ahmet Temiz General Directory of

Hello I try to find probability values of some predictor combinations using logistic reg. in response level. Firstly I found coefficients by glm function. Then I followed two ways to get probability values: 1- probility <- exp(X0+bX1+cX2+...)/((1+exp(X0+bX1+cX2+...)) 2- probility <- predict(glm.obj,type="resp") Should have these two given same result ? if so, I did not have. Why

hello I have two categorical data and want to visualise them to see their changes? Which graph do you recommend me for category with respect to category ? kind regards Ahmet Temiz -- Open WebMail Project (http://openwebmail.org) -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

Hi, my data set is data.frame(id, yr, y, l, e, k). I would like to estimate Lee and Schmidts (1993, OUP) model in R. My colleague wrote SAS code as follows: ** procedures for creating dummy variables are omitted ** ** di# and dt# are dummy variables for industry and time ** data a2; merge a1 a2 a; by id yr; proc sysnlin maxit=100 outest=beta2; endogenous y; exogenous l e k