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Hi, I am trying to sum column information in a list with 3 instances. For example: ID Traversed ID Traversed ID Traversed 1 5 1 7 1 8 2 8 2 11 2 7 3 11 3 22 3 16 What I want to do is sum the

Hi, I have a scatter plot, with an equation that best fits the scatter plot expressed as: 1/x^.6. I know for normal linear regression lines you can use the abline() command; however, since my best fit line is not linear, how can I draw my line on the scatter plot in a similar fashion to abline(). Thanks for everyone's help again. I appreciate this board's advice. Mark

Hi, I am trying to load csv type data from a folder. However, rather than syntax that simply loads one file at a time I was wondering if there is a method that loads all data from a specific folder. For instance, I have the following data files in a folder nebraskaStats: 10-1-2009_10-7-2009.txt 10-2-2009_10-8-2009.txt 10-3-2009_10-9-2009.txt ....etc. (245 total files in folder) Each file

Hi, I had another question. If you had say a vector (e.g., called data) with 235 elements and each element looked like the following data[[1]] Column A-B Column Z-S Column A-S.... 1 2 5 ....... data[[2]] Column Z-B Column A-S Column A-B.... 2 1 3 ....... Anyway, each element consists of one row

Hi, I am trying to do a kruskal wallis test on two lists, fVisited and cSN: fVisited[[1]] [1] 0.17097623 0.30376141 0.17577266 0.14951855 0.03959753 0.08096217 0.05744888 0.02196257.... .... cSN[[1]] [1] 0.08557303 0.36477791 0.19601252 0.12981040 0.05351320 0.10385542 0.03539577 0.03106175.... So if I just want to do a test on just one of the entries this is simple enough:

Hi, I have a vector and a list, with data I would like to multiply together. So for instance I have a vector s: [[1]] [1] 44308 [[2]] [1] 4371 Also, I have a list d: [[1]] [1] 1201 6170 2036 2927 1625 1391 2074 1453 3172 3027 4691 3719 1185 320 2071 1027 1046 1186 1403 580 1382 440 8 174 [[2]] [1] 6521 688 2678 3409 3033 1608 3618 1461 1836 2104 879 1095 2630 1591 2986 703 2548

I have a problem where I have two columns of data that I can simply plot using: plot(wV[0:15,3],wY[0:15,3]). This produces my desired plot. Now, say I have a third variable that I would like to introduce and use that variable to set different colors in the plot In this case, say I wanted values greater than 0 to be "blue" and values less than 0 to be "red" Basically, my

Hi, I am trying to perform various functions on a list with a number of elements. For example. I would like to take the mean of different variable values in the entire list. As an example, say I have a list with 1000 elements and variables called Id and Tick. What I would like to do is take the mean of a variable called X for each Tick in the data element. So, there can be say 1 to 600 tick

Hi, I have a problem in which I am parsing data from a list. I am simply trying to return data that has several conditions being true. Here is my syntax below: d<-sapply(res,function(.df){(.df$TimesVisited[.df$Tick>912 && .df$Id>0])}) #res is the list, and I am trying to return a result that has two true conditions (that is the variable Tick should be greate than 912 and Id

Hi, I read in csv files with the following code: res <- vector(mode="list",length=3) for(i in 1: length(res)) res[[i]]<-read.csv(file=paste("/Users/markaltaweel/Desktop/Output/HydroDataOutput",i,".csv",sep=""),header=T,sep=",") This allows me to load the data into an array of length 3, with the res array containing my data from the csv

Hi, I have data stored in a list that I would like to aggregate and perform some basic stats. However, I would like to apply conditional statements so that not all the data are used. Basically, I want to get a specific variable, do some basic functions (such as a mean), but only get the data in each element's data that match the condition. The code I used is below: >