similar to: help for an R automated procedures

Hi there: I am new to R and creating a boxplot panel chart to show a test result. I have four output variables (OV1, OV2, OV3, OV4) reflecting effects of the variation of three status parameters (SP1, SP2, SP3) on them at three different locations (Loc1, Loc2, Loc3). My plan is that displaying ONE OV change with ONE SP over three Loc in each boxplot (i.e., Loc is X axis and OV value is Y axis).

Dear Jim and Henrique, thank you both for your help. I have done this but run into another problem: ? In the example?below "loc1,loc2" occurs in the (now correct, thanks to your advice) "list" twice. ? ? trips=("loc1,loc2","loc2,loc3") ? DF$listoftrips=("loc1,loc2", "loc1,loc3", "loc2,loc3","loc1,loc2"). ? I?am

Hello, I have two data frames, X and Y, with two columns each and different numbers of rows. # creation of data frame X Loc1.alleles <- c(1,5,6,7,8) Loc1.Freq <- c(0.35, 0.15, 0.05, 0.10, 0.35) Loc1 <- cbind( Loc1.alleles,Loc1.Freq) X <- data.frame(Loc1) #creation of data frame Y Loc2.alleles <- c(1,4,6,8) Loc2.Freq <- c(0.35, 0.35,

Dear list, ? I am using match() to match pairs of locations, e.g. trip="loc1,loc2" from a list of such pairs, e.g. list=("loc1,loc2", "loc1,loc3", "loc2,loc3","loc2,loc1"). ? In this example match() will match "trip" with the first element of "list", but not the 4th, because the order is reversed. ? How can I get a match with

Hi, I am trying to get percentages in a more elegant way. I have a data.frame with locations and values (counts) of species at that location. Each location is repeated for each species i have values for and i would like to get percentages of each species at that location. I am not sure if i am clear in my explanations so i will paste my code below: ##################### > x locat val 1

Hello all, I'm trying to create a 2x2 matrix, 32 times after unlist() so that I can convert the list to matrix. I've looked through the R archive but couldn't find the answer. There is what I've done. > f <- system("ls *.txt", intern=TRUE) > x <- lapply(f, read.table) > x [[1]] V1 V2 1 -27.3 14.4 2 29.0 -38.1 [[2]] V1 V2 1 14.4

Hi If i'am try to start this program, in console i see: Code: err:module:import_dll Library kSys1.DLL (which is needed by L"C:\\Program Files\\ASCON\\KOMPAS-3D V11\\Bin\\kSys2.DLL") not found err:module:import_dll Library MFC42u.DLL (which is needed by L"C:\\Program Files\\ASCON\\KOMPAS-3D V11\\Bin\\kSys1.DLL") not found err:module:import_dll Library kSys1.DLL (which is

I want to check if the values a and b in the program alias. int main() { int *a,*b; a=(int *)malloc(sizeof(int)); b=(int *)malloc(sizeof(int)); *a=10; *b=8; return 0; } I use the below code for this (getAnalysisUsage method has been defined) AliasAnalysis::Location loc1=AliasAnalysis::Location(k1); //a AliasAnalysis::Location loc2=AliasAnalysis::Location(k2); //b AliasAnalysis::AliasResult

Hi Adarsh, > I want to check if the values a and b in the program alias. > > int main() { > int *a,*b; > a=(int *)malloc(sizeof(int)); > b=(int *)malloc(sizeof(int)); > *a=10; > *b=8; > return 0; > } > > I use the below code for this (getAnalysisUsage method has been defined) > > AliasAnalysis::Location loc1=AliasAnalysis::Location(k1); //a >

Hi, all According to the document "LLVM Alias Analysis Infrastructure", I evaluated the AA performance by using the paramenters '-basicaa -ds-aa -anders-aa'. The source code 'test.c' is listed as follow: //------------=== Source code ===------------// #include<stdlib.h> typedef struct { int x; int y; } Location; Location* getNewLocation(int x, int y) {

HI all, I might add some more information in order to possibly solve my problem. I'm really stuck and no obvious solutions do the trick. I'm using R 1.7.1 on Windows 2000 with the packages regurarly updated. I'm using hypothetical data constructed as a pseudo population conforming to a certain Var-Cov structure. I might add that just > predict(level2) works. But when I add the

#Hello, #I have three data frames, X,Y and Z with two columns each and different numbers of rows. # creation of data frame X X.alleles <- c(1,5,6,7,8) X.Freq <- c(0.35, 0.15, 0.05 , 0.10, 0.35) Loc1 <- cbind( X.alleles,X.Freq) X <- data.frame(Loc1) #creation of data frame Y Y.alleles <- c(1,4,6,8) Y.Freq <- c(0.35, 0.35, 0.10, 0.20 )

I have a DMZ (eth2: 10.0.100.0) and a LOC1 (eth0: 10.0.0.0) defined on my firewall. On one of the port on the switch serving LOC1 I have now a router and a switch feeding a bunch of computers with net=10.0.200.0. While I have defined a route to reach LOC2, I would like to define also a specific zone in order to assign different rules to it. Is it possible ? if yes, what is the syntax of the

Hi list, I''m struggling with this problem for a long time, hopefully someone can explain me what I''m doing wrong: I have a shorewall installation with interfaces net eth0 - eth1 hosts loc 10.0.10.0/24 loc 10.0.20.0/24 +some other zones and subnets there are aliases on eth1 for gateways for the two loc subnets eth1:1 10.0.10.1 eth1:2 10.0.20.1 Everything works fine, loc

Hi all, I''m using Shorewall since one year (1.4, then 2.0) I''m trying to migrate a linux firewall from iptables rules to shorewall. The firewall has three zones - net internet - loc1 lan - loc2 second lan I have a lot of rules like this, to SNAT the ip addresses of some computers on loc1 (192.168.16.0/24) when they connect to loc2 (10.0.0.0/8) iptables -v -t nat -I

Hi All, I’m currently working on a simple task which needs to transform loops into tail-recursive functions. I found the CodeExtractor class a handy helper to use, but later encountered a problem. Consider the following CU struct S { int a, b; }; int foo(struct S *s, unsigned n) {   struct S *next = s;   unsigned i;   for (i = 0; i < n; ++i) {     if (!s[i].a)      

Hello: I need to take a species-sample matrix and transpose it to the format used by PC-ORD for analysis. Unfortunately, the number of species is very large (>5000), and so this operation cannot be performed simply in an application like Excel, which has a 255 column limit. So, I wrote relatively simple code in R that I hoped would do this (appended below). But there are glitches. The

I've got read.table to successfully read in my table of three columns. Most of the time I will have a set number of rows, but sometime that will be variable and sometimes there will be only be two variables in one row, e.g. Time Loc1 Loc2 1 22.33 44.55 2 66.77 88.99 3 222.33344.55 4 66.77 88.99 Is there any way to have read.table handle (1) a variable number of rows, and (2) sometime there

Hi, I'm analyzing a large number of large simulation datasets, and I've isolated one of the bottlenecks. Any help in speeding it up would be appreciated. `dat` is a dataframe of samples from a regular grid. The first two columns are the spatial coordinates of the samples, the remaining 20 columns are the abundances of species in each cell. I need to calculate the species richness in

Hi, why doesn't this work properly when 'positions' is a vector of strings? All the data sets get totally mixed... positions <- rep ( c("1","2","3","4","5","6","9","10","11","12","13","14", "error", "no trial"), 45 ) compound <- matrix(