similar to: Extract Row on Criteria

Hi everyone! Thank you for the help you have been given to me, and here I'm with another problem with my dataframes: I have two dataframes (with much more observations), like these: Dataframe1 Firm Year cash 500400200 2007 100 500400200 2006 200 500400200 2005 400 500400300 2007 300 500400300 2006 240 500400300 2005 120 500400400

Dear R users, I want to generate two random variables (X1, X2) from uniform distribution (-0.5, 0.5) with a specified correlation coefficient r. Does anyone know how to do it in R? Many thanks! Menghui

d <- c("upwd1201", "upwd0502", "upwd0702", "upwd1002", "upwd1102", "upwd0203", "upwd0503", "upwd0803", "upwd0104", "upwd0704", "upwd0804", "upwd1204", "upwd0805", "upwd1005", "upwd0106", "dnwd1201", "dnwd0502",

Deare R users I am new to R. What I want to do is explained below;- I have table called States.Prob which is given below Prob of States Changes State1 State2 State3 State4 A Pa1 Pa2 Pa3 Pa4 B Pb1 Pb2 Pb3 Pb4 C Pc1 Pc2 Pc3 Pc4 D Pd1 Pd2 Pd3 Pd4 and I have a dataframe called

Sorry if this is a stupid question but I've been stuck on how to code so that I can order rows of a matrix without paying attention to the diagonal elements. Say, for example, I have a matrix d: > d [,1] [,2] [,3] [,4] [1,] 0.000000 2.384158 2.0065682 2.2998856 [2,] 2.384158 0.000000 1.4599928 2.4333213 [3,] 2.006568 1.459993 0.0000000 0.9733285 [4,] 2.299886

Dear R-users, Suppose I have the following x-y coordinates which give the boundaries of a polygon: > x <- c(5,4,5,9,6,6,4,7,10,7,10,4,10) > y <- c(6,3,2,6,3,7,5,4,4,7, 5,4, 6) I would like to plot the following graph: > plot(x,y) > ord <- c(7,12,2,3,5,8,9,11,13,4,10,6,1) > polygon(x[ord],y[ord]) How I can obtain the above ordering (in the example an anti-clockwise

Hi, Is there any way to sort a tabel with a colum with IP-address? table: id rank color status ip 138 29746 yellow no 162.131.58.26 138 29746 red yes 162.131.58.16 138 29746 blue yes 162.131.58.10 138 29746 red no 162.131.58.17 138 29746 yellow no 162.131.58.14 138 29746 red no 162.131.58.13 138 29746 yellow no 162.132.58.15 139 29746 green no 162.252.20.69 140 29746 red yes

Hi Rhelpers, I would like to have some help with a plot which is beyond my capabilities. This plot that I am seeking involves an overlay of two different barcharts and one xyplot. The code that I have used is the following : #save(df1,file="M:\\KBR\\df1.RData") load(file="M:\\KBR\\df1.RData") # df1$Year.ord created to obtain the right order i.e. 2015M < 2015K

Hello, I've got a small dataset on box turtle shell measurements that I would like to perform a detrended correspondence analysis on. I thought that it would be interesting to examine the morphometrics for each species in the area of overlap and in areas where neither species occurs.  I've taken a look at the dune and dune.env datasets in vegan. Using the str() command gives me  >

Hi, I'm a bit stuck and need some help with R code to code a variable F_R based on a combination of conditions. The first condition would code F_R as "F" and would be based on the min(Date) and Min(Time) for each combination of UniqueID & Reason. The second condition would code the variable as "R" as it would be the rest of the data that dont meet the first

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

Dear List, I am struggling with the following problem. Suppose I have the following data.frame: coord<-expand.grid(x=1:10,y=1:10) and I want to extract the row numbers of those matching the criteria defined by the following data.frame: choice<-data.frame(x=c(2,1,2),y=c(1,2,2)) the result should return in this case: 2,11,12 All I managed to do is the following: which(data

Hi, netters, This is probably a rookie question but I couldn't find the answer after hours of searching and trying. Suppose there'a a dataframe M: x y 10 A 13 B 8 A 11 A I want to locate the rows where x >=10 and y="A". I know how to do it to vectors by using which, but how to do it with the dataframe? Thank you very much! Zhihua Li

Full_Name: Robert Kushler Version: 2.4.1 OS: Windows XP Submission from: (NULL) (69.245.71.40) In the constant leverage case, plot #5 is not correctly produced. The labels on the x-axis are sorted correctly by magnitude of the fitted value, but the data are plotted in the original factor order. I changed facval[ord] <- facval xx <- facval

Is there a way to create a 'bubble plot' in R? For example, if we define the following data frame containing the level of y observed for 5 patients at three time points: time<-c(rep('time 1',5),rep('time 2',5),rep('time 3',5))

Dear all, I have a data frame of 6 columns and ~60000 rows which I hope to perform the following calculation on. For each row, I wish to determine whether there are a greater number of positive or negative numbers. Then, if there are more positive numbers in the row, count how many occur - but if there are more negative numbers in the row, count them instead and insert a minus symbol before

I am working off an example from Deepayan Sarkar's Lattice:Multivariate Data Visualiization with R. I am trying to create Figure 5.6, essentially, but I would like to be able depict different metro areas. These of course have different lat/longs, so I need to make different graphs. BUT (and this has been the tricky part), I would like to produce graphics for each metropolitan

I try to sort this dataframe: [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] "CM" "BARBY" "INCREASED" " 0" " 2" " 0" " 1" " 1" [2,] "CM" "BARBY" "REDUCED" " 0" " 1" " 2" " 2" " 5" [3,] "CM"

Dear all, I am attempting to perform a calculation which counts the number of positive (or negative) values based on the sample mean (on a per-row basis). If the mean is>0 then only positive values should be counted, and if the mean is <0 then only negative values should be counted. In cases where the mean is equal to zero, the value -99999 should be returned. The following is an example

Have you gone through any R tutorials? If not, why not? If so, maybe you need to spend some more time with them. It looks like you want us to do your work for you. We don't do this. See (and follow) the posting guide below for what we might do (we're volunteers, so no guarantees). Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and