similar to: Dump the "source code" of data frame

Often it is useful to keep a "codebook" to document the contents of a dataset. (By "dataset" I mean a rectangular structure such as a dataframe.) The codebook has as many rows as the dataset has columns (variables, fields). The columns (fields) of the codebook may include: ? variable name ? type (character, factor, integer, etc) ? variable label

R-help, I'm using a function whose end result is a trellis plot. When I call the function I get sometimes the following message: "Note: The default device has been opened to honour attempt to modify trellis settings " leading up to any plot whatsoever. I call the package 'lattice' within the function and 'detach' after plotting. I have to close the graphics

Hello All, I am trying to work on writing the following piece of (pseudo) code in an optimal fashion: ---------------------------------------------------- # Two data frames with some data a = data.frame(somedata) b = data.frame(somedata) for(i in 1:nrow(dt) { # Merge dates for a given date into a new data frame c = merge(a[a$dt==dt[i],),b[b$dt == dt[i],], by=c(some column)); }

Hi Eli, Slightly changed the example :- .section somedata .Ltmpa: .word 100 .Ltmpb: .word 60 .Ltmpc: .word 40 .Ltmpd: .word (.Ltmpa-.Ltmpb)-.Ltmpc The GNU assembler properly handles the above. $as -c x.s -o x.o $readelf -x 4 x.o Hex dump of section 'somedata': NOTE: This section has relocations against it, but these have NOT been applied to this dump. 0x00000000 64003c00

Hi all, Have a problem. Trying to read in a data set that has about 112,000,000 rows and 8 columns and obviously enough it was too big for R to handle. The columns are mode up of 2 integer columns and 6 logical columns. The text file is about 4.2 Gb in size. Also I have 4 Gb of RAM and 218 Gb of available space on the hard drive. I tried the dumpDF function but it was too big. Also tried bring in

On Sun, Sep 22, 2013 at 9:43 PM, Shankar Easwaran <shankare at codeaurora.org>wrote: > Hi Eli, > > Slightly changed the example :- > > .section somedata > .Ltmpa: > .word 100 > .Ltmpb: > .word 60 > .Ltmpc: > .word 40 > .Ltmpd: > .word (.Ltmpa-.Ltmpb)-.Ltmpc > > The GNU assembler properly handles the above. > > $as -c x.s -o x.o >

Hello R-users/experts, I am new to R- I have a simple question: Let say I have a data set as follows temp:[file attached] the data structure is a follows: sex age female 28 female 53 female 53 female 36 male 42 male 29 male 43 male 36 male 41 Here we are grouping all male value into male and all female value in to female

Hi everybody! I'm sure that I overlook something and feel quite stupid to ask, but I have not found an easy solution to the following problem: Take e.g. the Orthodont data from the nlme package: > head(Orthodont) Grouped Data: distance ~ age | Subject distance age Subject Sex 1 26.0 8 M01 Male 2 25.0 10 M01 Male 3 29.0 12 M01 Male 4 31.0 14 M01 Male

Hi All, I have the data like this : >sample <- read.csv(file="sample.csv",sep=",",header=TRUE) > sample stdate Domain sex age Login 1 01/11/09 xxx FeMale 25 2 2 01/11/09 xxx FeMale 35 4 3 01/11/09 xxx Male 18 30 4 01/11/09 xxx Male 31 3 5 02/11/09 xxx Male 32 11 6 02/11/09 xxx Male 31 1 7 02/11/09

Hi R users, I am trying to extract some attributes (age, sex, area) from dataframe "AB" that has 101,269 observations of 28 variables to dataframe "t2" that has 47 observations of 6 variables. They share a column called "id", which is a factor with 47 levels. I want to end up with a dataframe that has 47 observations of 9 variables (the original 6 variables of t2,

Hi all, I have data like this: >sample <- read.csv(file="sample.csv",sep=",",header=TRUE) > sample stdate Domain sex age Login 1 01/11/09 xxx FeMale 25 2 2 01/11/09 xxx FeMale 35 4 3 01/11/09 xxx Male 18 30 4 01/11/09 xxx Male 31 3 5 02/11/09 xxx Male 32 11 6 02/11/09 xxx Male 31 1 7 02/11/09

Dear r-help listers, I am using effects to produce an effect plot after the proportional odds logistic regression model. There is no problem for me to estimate the model, but when it comes to the graphing, I was stuck. see the codes below: ############################################################################## myologit <- polr(factor(warm) ~ yr89 + male + white + age + ed + prst, +

Hi, I have a problem with the R syntax. It's perhaps pretty simple, but I don't understand it ... I can extract a column from a data.frame with the following code for example ... b$row1[b$row1 == "male"] so I see all male-entries. But I cannot extract all lines of a data.frame depending on this criterium; only.male <- b[b$row1 == "male"] With that, I

dear£º in the example£¨nomogram£©£¬I don't understand the meanings of the program which have been marked by red line.And how to compile the program(L <- .4*(sex=='male') + .045*(age-50) + (log(cholesterol - 10)-5.2)*(-2*(sex=='female') + 2*(sex=='male'))). n <- 1000 # define sample size set.seed(17) # so can reproduce the results age <- rnorm(n, 50, 10)

Dear R-Help listers, I am trying to estimate an proportional odds logistic regression model (or ordered logistic regression) and then make predictions by supplying a hypothetical x vector. However, somehow this does not work. I guess I must have missed something here. I first used the polr function in the MASS package, and I create a data frame and supply it to the predict function (see below):

Dear R users, I have a problem, which I can not find a solution. Probably someone could help me? I have a result from my classification, like this > credit.toy [[1]] age married ownhouse income gender class 1 20-30 no no low male good 2 40-50 no yes medium female good [[2]] age married ownhouse income gender class 1 20-30 yes yes high male

I am trying to add confidence (error) bars to lattice barcharts (and dotplots, and xyplots). I found this helpful message from Deepayan Sarkar and based teh code below on it: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/50299.html However, I can't get it to work with groups, as illustrated. I am sure I am missing something elementary, but I am unsure what. Using R 2.1.1 on various

Dear R-helpers, Suppose I have dataset like this below: data(HairEyeColor) dfHEC <- as.data.frame(as.table(HairEyeColor)) my.dfHEC <- data.frame(Hair=rep(dfHEC$Hair,dfHEC$Freq), Eye=rep(dfHEC$Eye,dfHEC$Freq), Sex=rep(dfHEC$Sex,dfHEC$Freq)) my.dfHEC my.dfHEC$Hair my.dfHEC$Eye my.dfHEC$Sex and I know all levels for Hair, Eye and Sex. In my case, I

Good day all, My statisticians want an R procedure that will produce grouped stacked barplots. Barplot will stack or group, but not both. The ftable function can produce a table of the exact form they want, but the barplot doesn't show all the divisions we want. For an example, here's the sample from the help file for "ftable:" data(Titanic) ftable(Titanic, row.vars = 1:3)

Hi, This code is trying to produce a series of graphics files, with plots of male and female disease rates by age, one plot per disease. The dataframe contains a variable 'Age' and a set of variables called 'Male_CVD, Female_CVD,Male_RTA,Female_RTA, and so on. For each disease, I want to pull out the column of data containing the word 'Male' and plot this against age, and then