similar to: subsetting a dataframe

Hi there, >library(faraway) >pima pregnant glucose diastolic triceps insulin bmi diabetes age test 1 6 148 72 35 0 33.6 0.627 50 1 2 1 85 66 29 0 26.6 0.351 31 0 >data(pima) >pima pregnant glucose diastolic triceps insulin bmi diabetes age test 1 6 148 72 35 0 33.6

Hi, Does anyone know if R has a built-in function that is equvalent to Excel's percentrank, i.e., returns the rank of a value in a data set as a percentage of the data set? Thanks, -- Tom [[alternative HTML version deleted]]

Hi, In the article Hierachical token bucket theory says that "Just look at the self feed list and select the nonempty slot (one with a line) with lowest level and highest prio." Then I wonder that if the highest priority class is always in the "CAN SENT" mode, the other classes will have less opportuinity to send packet? Becase they have to wait the hightest priority class

What filter rule is violated? So frustrated, why can't I post question! ----- Original Message ---- From: "r-help-bounces at r-project.org" <r-help-bounces at r-project.org> To: yjmha69 at yahoo.com Sent: Fri, June 4, 2010 12:28:37 PM Subject: Your message to R-help awaits moderator approval Your mail to 'R-help' with the subject ? ? subsetting a dataframe Is

I noticed taht R cannot understand certain Fortran real constant formats. For instance: c14 <- as.double( 7.785205408500864D-02) Error: unexpected symbol in " c14 <- as.double( 7.785205408500864D" The above "D" is used in Fortran language to indicate the memory starage mode. That is for instructing Fortran compiler to store such a REAL constant in DOUBLE

I have an update on the networking issue: - After the deep dive into the logs of the firewall by customer's security team, it turns out that even though there were some disconnections, the time-stamps do not match. This means that we got the disconnected by something else (ESXi or conversion host perhaps) - As we mentioned in the chat briefly, there could be general keep-alive issues on both

Hello All, I have a list of dataframes, and I need to subset it by keeping only those dataframes in the list that meet a certain criterion. Specifically, I need to generate a second list which only includes those dataframes whose number of rows is > 1. Could someone suggest how to do this? I have come close to what I need with loops and such, but there must be a less clumsy way... Many

Hi R-people I have a question concerning subsetting. I have a dataframe which contains among other variables the variable "subject". For each subject number there are several rows, e.g.: subject treatment concentration day 19 a 15,4 1 19 a 18,3 2 19 a 2,3 3 etc. Im trying to subset the dataframe to get for

Dear R-help, I have a question on subsetting a dataframe and I searched all of R-help to no avail. Please view the following example dataframe: # Example > x <- factor(rep(c(1,2,3,4),2)) > y <- c(1,4,3,2,1,2,5,1,2) > z <- c(10,12,18,21,24,32,34,12,23) > test <- data.frame(x, y, z) > test x y z 1 1 1 10 2 2 4 12 3 3 3 18 4 4 2 21 5 1 1 24 6 2 2 32 7 3 5 34 8

I have a dataFrame variable: L1 L2 L3 ... v1 v2 ... 1 2 3 4 ... I want to process subsets of it as defined by combinations of L1-L2-L3. I do it successfully using nested loops: for (i in valuesOfL1 { for (j in valuesOfL2) { for (k in valuesOfL3) { tempData <- subset(dataFrame, (L1 == i & L2 == j & L3 == k, select=c(v1,v2) )) if

Hello All, I am facing a unique issue and am unable to find any help in R help pages or online. I will appreciate your help for the following problem: I have 2 data-frames, samples below and there is an expected output R Dataframe1: C1 C2 C3 C4...... CN R1 0 1 0 1 R2 1 0 1 1 R3

Hi, I am trying to subset a dataset based on a filter defined by a user... I prompt the user for input.. resulting in a string logical expression ("X1 < 3"). I have tried using subset, but it is looking for a logical expression, not a character string. I keep getting the error: 'subset' must evaluate to logical. Example: x <- data.frame(matrix(1:15, nrow=5, ncol=3))

Hi, I have a dataframe with 43 columns and a 1000 rows. Each entry in the dataframe can be either P or A. here is a small chunk: c1 c2 ... c43 r100 P A ... P r101 A A ... A r102 P P ... P How does one subset this data frame to select those rows that have only P's in them? Thanks in advance. Anjan -- ===================================

Hi, I'm trying to understand a behaviour that I have encountered and can't fathom. Here's some code I will use to illustrate the behaviour: # start with some data frame "a" having some named columns a <- data.frame(a=rep(1,3),c=rep(2,3),d=rep(3,3),e=rep(4,3)) # create a subset of the original data frame, but include a # name "b" that is not present in my

Hello Everybody, I'm working with a dataframe that has 18 columns. I would like to subset the data in one of these columns, "present", according to combinations of data in six of the other columns within the data frame and then save this into a text file. The columns I would like to use to subset "present" are: * answer (1:4) [answer takes the values 1 to 4] *p.num

I can create a small dataset, "x" below, and subset out rows based on values of a certain variable. However, on the dataset I'm working on now, "latdata" below, I get a subscript error. Any advice is appreciated! Ryan Successful: > is.data.frame(x) [1] TRUE > x X1 X2 X3 1 1 3 5 2 2 4 6 > x[x$X2 %in% c(3),] X1 X2 X3 1 1 3 5 Unsuccessful: >

How does one remove a column from a data frame when the name of the column to remove is stored in a variable? For Example: colname <- "LOT" newdf <- subset(olddf,select = - colname) The above statement will give an error, but thats what I'm trying to accomplish. If I had used: newdf <- subset(olddf,select = - LOT) then it would have worked, but as I said the column

Hello again, I'm trying to purge the indexes in i.delete from frame and end up with more rows!? Please be so kind and let me know where I screw this up ... Joh > i.delete [1] 40 45 165 212 253 270 280 287 301 352 421 433 463 467 487 [16] 517 537 542 573 594 596 612 614 621 635 650 696 699 707 732 [31] 738 776 826 891 892 936 937 935 940 976

Hello, I have a big dataframe with *NO* na's (9 columns, 293380 rows). # doing memory.limit(size = 1000000000) cor(x) #gives Error in cor(x) : missing observations in cov/cor In addition: Warning message: NAs introduced by coercion #I found the obvious workaround: COR <- matrix(rep(0, 81),9,9) for (i in 1:9) for (j in 1:9) {if (i>j) COR[i,j] <- cor (x[,i],x[,j])} #which works fine,

Dear R-community, I am using R (V 2.14.1) on Windows 7. I have a dataset which consists of 19 variables for 91 individuals or rows. Two of my variables are Age (adult/chick, with no NA values) and Sex (0 for females/1 for females, with quite a few NA values). The sex of many adult birds is unknown (entered as NA in dataframe). At some point of my analyses, I happen to need to need to work with