search for: v50

R-helpers: Assume that I want to create a series of sequentially named R objects. For example, I might want to call these objects V1, V2, V3 ... V50. To do this, I thought of some sort of looping function like: input.value <- seq(1:50) * 3 for(i in 1:50){ paste("V", i, sep="") <- input.value[i] } Of course this loop will not work since the paste function returns a character string that cannot be a variable. H...

...g else). so anyway, what I'd normally do is take a set of data like this: pH counts 3.8 968 5.0 1347 5.8 2867 6.6 9203 7.0 15817 7.4 20297 8.2 31916 9.2 35756 then fit this to a Boltzman sigmodial in Graphpad. Graphpad spits out a much longer set of vectors and also information about v50 and confidence intervals etc (if anyone is familiar with that software). This is what i'd like to replicate. It might be that I just don't know what i'm doing,so feel free to call me an idiot but any help is greatly appreciated! -JJ [[alternative HTML version deleted]]

...ossibility of changing the shape of a data frame using a "pivoting-like" function. I have a dataframe df of observations as follows: ID VALIDITY YEAR PROPERTY PROPERTY VALUE A1 2007 P1 V1 A1 2007 P2 V2 A1 2007 P3 V3 A1 2008 P1 V10 A1 2008 P2 V20 A2 2007 P5 V50 A2 2008 P6 V20 A3 2007 P1 V1 A3 2007 P3 V30 A3 2008 P1 V10 A3 2008 P2 V4 A3 2008 P6 V25 (you can imagine that this data is collected every year from a sample of people with several "measures" - weight, number of children, income... It can happen that some pr...

...f V7:%f V8:%f V9:%f V10:%f V11:%f V12:%f V13:%f V14:%f V15:%f V16:%f V17:%f V18:%f V19:%f V20:%f V21:%f V22:%f V23:%f V24:%f V25:%f V26:%f V27:%f V28:%f V29:%f V30:%f V31:%f V32:%f V33:%f V34:%f V35:%f V36:%f V37:%f V38:%f V39:%f V40:%f V41:%f V42:%f V43:%f V44:%f V45:%f V46:%f V47:%f V48:%f V49:%f V50:%f V51:%f V52:%f V53:%f V54:%f V55:%f V56:%f V57:%f V58:%f V59:%f V60:%f V61:%f V62:%f V63:%f V64:%f V65:%f V66:%f V67:%f V68:%f V69:%f V70:%f V71:%f V72:%f V73:%f V74:%f V75:%f V76:%f V77:%f V78:%f V79:%f V80:%f V81:%f V82:%f V83:%f V84:%f V85:%f V86:%f V87:%f V88:%f V89:%f V90:%f V91:%f V92:%f V9...

...2:%f V13:%f V14:%f V15:%f V16:%f V17:%f >> V18:%f V19:%f V20:%f V21:%f V22:%f V23:%f V24:%f V25:%f V26:%f V27:%f >> V28:%f V29:%f V30:%f V31:%f V32:%f V33:%f V34:%f V35:%f V36:%f V37:%f >> V38:%f V39:%f V40:%f V41:%f V42:%f V43:%f V44:%f V45:%f V46:%f V47:%f >> V48:%f V49:%f V50:%f V51:%f V52:%f V53:%f V54:%f V55:%f V56:%f V57:%f >> V58:%f V59:%f V60:%f V61:%f V62:%f V63:%f V64:%f V65:%f V66:%f V67:%f >> V68:%f V69:%f V70:%f V71:%f V72:%f V73:%f V74:%f V75:%f V76:%f V77:%f >> V78:%f V79:%f V80:%f V81:%f V82:%f V83:%f V84:%f V85:%f V86:%f V87:%f >> V...

...V10:%f V11:%f V12:%f V13:%f V14:%f V15:%f V16:%f V17:%f > V18:%f V19:%f V20:%f V21:%f V22:%f V23:%f V24:%f V25:%f V26:%f V27:%f > V28:%f V29:%f V30:%f V31:%f V32:%f V33:%f V34:%f V35:%f V36:%f V37:%f > V38:%f V39:%f V40:%f V41:%f V42:%f V43:%f V44:%f V45:%f V46:%f V47:%f > V48:%f V49:%f V50:%f V51:%f V52:%f V53:%f V54:%f V55:%f V56:%f V57:%f > V58:%f V59:%f V60:%f V61:%f V62:%f V63:%f V64:%f V65:%f V66:%f V67:%f > V68:%f V69:%f V70:%f V71:%f V72:%f V73:%f V74:%f V75:%f V76:%f V77:%f > V78:%f V79:%f V80:%f V81:%f V82:%f V83:%f V84:%f V85:%f V86:%f V87:%f > V88:%f V89:%f V90...

...lfway through and give me an error at V188 and V359. Temp <- data.frame(V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, V30, V31, V32, V33, V34, V35, V36, V37, V38, V39, V40, V41, V42, V43, V44, V45, V46, V47, V48, V49, V50, V51, V52, V53, V54, V55, V56, V57, V58, V59, V60, V61, V62, V63, V64, V65, V66, V67, V68, V69, V70, V71, V72, V73, V74, V75, V76, V77, V78, V79, V80, V81, V82, V83, V84, V85, V86, V87, V88, V89, V90, V91, V92, V93, V94, V95, V96, V97, V98, V99, V100, V101, V102, V103, V104, V105, V106, V107, V108,...

...data set, containing more than 470 variables and 3200 cases (size: 2.5MB). Whenever I use the command 'read.spss' (foreign-library), I got the the following warning massages: ------------------ Warning messages: 1: d:/s3000.sav: File contains duplicate label for value 0.5 for variable V50. 2: d:/s3000.sav: File contains duplicate label for value 1 for variable V50. 3: d:/s3000.sav: File contains duplicate label for value 0.5 for variable V63. 4: d:/s3000.sav: File contains duplicate label for value 1 for variable V63. [...] ------------------ How do I interpret these warnings...

...quot;v33" "v34" "v35" "v36" "v37" "v38" "v39" "v40" "v41" "v42" "v43" "v44" "v45" "v46" [77] "v47" "v48" "v49" "v50" "v51" "v82" "v83" "v84" "v85" "v86" "v87" "v88" "v89" "v90" "v91" "v92" "v93" "v94" "v95" [96] "v96" "v97&quot...

I'm having trouble with R on NT. Sept 1 97 version 50 in file rsept works fine, except I can't boost the memory - either with the menu or with DOS command Rsept -v50 In fact, if I run in DOS command mode (no shortcut) I get NT error window: errno 1411. But then R runs. With rseptbeta and rsept31 versions, R starts for a millisecond and then disappears. I've tried replacing the executable in resept31 with the new executable, but still have a problem....

Dear R Community, I am using the package DRC ( to fit a boltzman model to my data. I can fit the model and extract the lower limit, upper limit, and ED50 (aka V50), but I cannot figure out how to get the slope of the curve at ED50. Is there a simple way to do this? I've searched the mailing list and looked through the package documentation, but could not find anything. I am new to r, and especially the DRC package, so any help would be appreciated. T...

....00000000 0.06165530 0.02693335 0.00000000 0.00000000 0.00000000 -0.15699831 0.00000000 0.00000000 0.00000000 0.00000000 V27 V28 V33 V35 V36 V37 V39 V41 V42 V43 V45 V46 V47 V48 V49 V50 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 -0.01881011 0.00000000 0.00000000 0.00000000 0.00000000 V51 V52 V54 V55 V56 V57 V58 V60 V61 V...

Hi, Can anybody show me how to extract all columns in my dataset that are polymorphic? Or phrased in another way I would like to delete all columns that have no more than one letter in it (that are monomorphic). Thank you. Laetitia -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: seqCol.txt URL:

...g (193.190.194.5), 30 hops max, 40 byte packets 1 ctx-5500-n060.core.ufl.edu (128.227.60.1) 2.072 ms 2.182 ms 2.330 ms 2 128.227.111.233 (128.227.111.233) 0.393 ms 0.413 ms 0.535 ms 3 ctx36-nexus-msfc-1-v40-1.ns.ufl.edu (128.227.236.5) 0.427 ms 0.458 ms 0.459 ms 4 ctx36-ewan-msfc-1-v50-1.ns.ufl.edu (128.227.236.86) 1.212 ms 1.143 ms 1.111 ms 5 ssrb230a-ewan-msfc-1-v704-1.ns.ufl.edu (128.227.252.50) 0.960 ms 0.989 ms 0.966 ms 6 jax-flrcore-7609-1-te31-1805.net.flrnet.org (198.32.155.221) 6.594 ms 6.523 ms 6.582 ms 7 tlh-flrcore-7609-1-te33-1.net.flrnet.org (198.32.15...

...e names > print (ff) Surv(y, status) ~ ridge(V1, V2, V3, V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, V30, V31, V32, V33, V34, V35, V36, V37, V38, V39, V40, V41, V42, V43, V44, V45, V46, V47, V48, V49, V50, V51, V52, V53, V54, V55, V56, V57, V58, V59, V60, V61, V62, V63, V64, V65, V66, V67, V68, V69, V70, V71, V72, V73, V74, V75, V76, V77, V78, V79, V80, V81, V82, V83, V84, V85, V86, V87, V88, V89, V90, V91, V92, V93, V94, V95, V96, V97, V98, V99, V100, theta = lambda, scale = FALSE)...

Hello, Why do I get preceding "X." (that is a and X followed by a period) for negative numbers and an "X" for positive numbers when I read a csv file? Am I stuck with this? If so, how do I convert it to normal numbers? dat=read.csv(file_path) > dat [1] X0.0 X.0.240432350374 X0.355468069625 X.0.211469972378 X1.1812797415 X.0.227975150826

Dear List I have a fixed width file with variables of varying width. The help is pretty transparent for this feature, but I can't seem to figure out how I can make effective use of the package with my data. In my dataset, the first 80 columns are of width 1 followed by other variables with width larger than 1. I think the correct way to do this, by brute force, would be >

...a", "c", "g", "t"), class = "factor"), V49 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 4L, 2L, 1L, 1L, 4L), .Label = c("a", "c", "g", "t"), class = "factor"), V50 = structure(c(3L, 3L, 3L, 3L, 2L, 3L, 3L, 1L, 2L, 4L, 3L, 4L, 3L, 3L, 1L, 3L, 4L, 3L, 3L, 3L), .Label = c("a", "c", "g", "t"), class = "factor"), V51 = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3...

...$ V44 : num 0.341 0.274 0.504 1.108 0.447 ... $ V45 : num 0.440 0.196 0.631 1.076 0.535 ... $ V46 : num 0.873 0.326 0.933 1.354 0.977 ... $ V47 : num -0.383 -0.170 0.686 0.843 0.328 ... $ V48 : num 0.138 0.384 1.332 1.352 0.217 ... $ V49 : num -0.105 0.311 0.984 1.201 -0.196 ... $ V50 : num -0.118 0.215 0.942 1.173 -0.233 ... $ V51 : num -0.245 0.165 0.890 1.057 -0.354 ... $ V52 : num -1.568 -0.577 -0.399 -0.748 -1.883 ... $ V53 : num -1.530 -0.420 -0.264 -0.522 -1.430 ... $ V54 : num 0.331 0.264 0.324 0.574 0.308 ... $ V55 : num 0.426 0.497 1.209 1.296 0.901 .....

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