similar to: Fwd: Cannot allocate a new database connection error

Hi All, Can anyone help me please?I don't know much about segmentation faults.I understand what it is,but why my script's throwing the error i don't know. This is my main function:---- *main<-function()* *{* * dbName<-"xyz_database"* * hostName<-"xyz.com"* * con<-myDbconnect(dbName,hostName) * *

Hi All, Sorry to bother everyone again.Ofcourse Prof Ripley ,Yihui and Uwe had replied to my email.But this segmentation fault error was not solved.I agree with Prof Ripley,as he said my R and all other configurations,are very old.But what i don't understand is ,i was able to run analysis till few days before,and why suddenly this error. *The configuartions i use:---* *R-version * *>

Hi friends, I have a query regarding na.omit function.Please ,someone help me. I have a function xyz_function<-function(arguments) { some code return(list(matrix=dataset)) } xyz_function_returnvalue<-xyz_function(passed argumentss) *Case-I* xyz_function_returnvalue_deletingNArows<-na.omit((xyz_function_returnvalue)) *Case-II*

Hi All, Wanted to add some more information ,regarding my problem. configuration of teh OS and R:--- Linux 2.6.18-6-686 > R.Version() $platform [1] "i486-pc-linux-gnu" $arch [1] "i486" $os [1] "linux-gnu" $system [1] "i486, linux-gnu" $status [1] "Patched" $major [1] "2" $minor [1] "4.0" $year [1] "2006"

Hi friends, Any idea why do i get this warning?And also why all computed p-values are NaN. Have shown below what i did in Windows r-console.:-- > df c1 c2 1 1 50 2 NA NA 3 4 NA 4 7 6 5 NA 7 6 10 10 > r<-cor(x=df,y=NULL,use="complete.obs",method=c("pearson")) > r c1 c2 c1 1.0000000 -0.9148074 c2 -0.9148074 1.0000000 > cor.p.values<-

Hi all, Can anyone suggest me how to insert rows in between data frames and also keep the ordering of row numbers correct? Estimate Std. Error t value Pr(>|t|) recmeanC2 9.275880e-17 6.322780e-17 1.467057e+00 0.14349903 recmeanC3 1.283534e-17 2.080644e-17 6.168929e-01 0.53781390

Hi friends, Please can anyone help me with an easier solution of doing the below mentioned work. Suppose i have a dataset like this:--- i1 i2 i3 i4 i5 1 7 13 1 2 2 8 14 2 2 3 9 15 3 3 4 10 16 4 4 5 11 17 5 5 6 12 18 6 7 *i1,i2,i3,i4,i5 are my items.I am able to find all possible pairs i.e Say this dataframe is "item_pairs" **i1,i2 **i1,i3 **i1,i4 i1,i5 **i2,i1

I get this error while computing partial correlation. *Error in solve.default(Szz) : system is computationally singular: reciprocal condition number = 4.90109e-18* Why is it?Can anyone give me some idea ,how do i get rid it it? This is the function i use for calculating partial correlation. pcor.mat <- function(x,y,z,method="p",na.rm=T){ x <- c(x) y <- c(y)

Hi All, How do you dynamically generate the arguments for the lm() function when your items vary for each database. Say in my case for a particular database i have items from i1 to i15 . In the code below there a line like this :-- item_cat_fit<-lm(as.numeric(item_item_table$i1) ~ as.numeric(item_item_table$i2) + as.numeric(item_category_table$i3) ) *# this gives proper results,i am

Hi All, Would be grateful,if anyone can answer my queries. I need to share code. For example, if I am working in C/C++, I would put some function declarations in .h files that you would include. In PHP, I would create files with the common functions in them and then "include()" them. So far, I haven't been able to figure out what the standard practice is in R. The two options

Hi All , Can anybody tell me if there's any way to get the summarized anova values.Now i will explain what i mean , when i say "*summarized*". Below you can see the anova table of recmeanC1 with rest* all* i.e from recmeanC2 to i15(predictors),as shown in table. Df Sum Squares Mean Square F value Significance [Pr(>F)] recmeanC2 1 89.272 89.272

Hi All, How do i calculate KMO for a dataset? *Dataset:---------------------* m1 m2 m3 m4 m5 m6 m7 m8 1 2 20 20 2 1 4 14 12 2 9 16 3 5 2 5 5 15 3 18 18 18 13 17 9 2 4 4 7 7 2 12 2 11 11 11 5 7 8 5 19 5 2 20 18 6 7 4 7 4 7 9 3 3 7 5 5 5 12 5 13 13 12 8 6 6 4 3 5 17 17 16 9 12 12 4 2 4 4 14 14 10 5 14

Respected Sir, With reference to my mail to you dated 8th January,2013, and the reply by you dated 9th January, 2013, I am sending this mail to you. I had a problem regarding running a program in the latest version of the "BRugs" package in R 2.15.1 and 2.15.2. I want to mention here that this program runs well to others, who are running it using the earlier version

Hi All, If you have already finished reading my previous emails regarding segmentation fault , please have a look at this .I think this may help you to diagnose the reason for the segmentation fault and help me,because i don't understand much. Rather than running the script using the command " source("new_regression.R") ", what I did was ,simply typed in the commands in

Hi friends, If someone can find out some time to go through my problem would be really grateful. I have a dataset(dataset1) as shown below:-- recmeanC1 recmeanC2 recmeanC3 recmeanC4 i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11 1 NA 1 1.00 1.800000 NA 1 NA 1 1 NA 2 2 2 NA 2 2 2 2 1.00

Hi All, This is my R-version information:--- > version _ platform i486-pc-linux-gnu arch i486 os linux-gnu system i486, linux-gnu status major 2 minor 7.1 year 2008 month 06 day 23 svn rev 45970 language R version.string R version 2.7.1 (2008-06-23) While calculating partial

Hi, How to make an if condition work, if the condition inside if() is created dynamically ,and that is a string .If i type teh dynamically created string the if works fine but when dynamically created,it is a string and going inside the if() ,an error is thrown saying : rgument is not logical ..I even tried changing teh mode of the string to logical,but it doesn't work Say my dynamically

Hi friends, Please help me with this bug. *Bug in my code:* In this variable sub_grp_whr_cls_data[sbgrp_no,1] I store the where clause.every sub group has a where condition linked with it. Database1 Where clause was not found for a particular subgroup, sub_grp_whr_cls_data[sbgrp_no,1] value was NULL So the condition (*sub_grp_whr_cls_data[sbgrp_no,1]=="NULL" ||

How to NATURAL sort a vector or data frame* by row* , in ascending order ? V1 V2 V3 V4 i1 5.000000e-01 1.036197e-17 4.825338e+16 0.00000000 i10 4.001692e-18 1.365740e-17 2.930053e-01 0.76973827 i12 -1.052843e-17 1.324484e-17 -7.949081e-01 0.42735000 i13 2.571236e-17 1.357336e-17 1.894325e+00 0.05922715 i2

* * Hi , Can anyone help me please with this problem?* * *CASE-I* all_raw_data_NAomitted is my data frame.It has columns with names i1 ,i2, i3,i4…, till i15.It has 291 rows actually ,couldn’t show here. The data frame looks like this:-- i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11 i12 i13 i14 i15 2 2 2 2 2 2 2 2 2 2 2 1 2 2 3 2 3 2 2 2 2 3 2 2 3 3