search for: 0.675

Displaying 20 results from an estimated 31 matches for "0.675".

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1998 Apr 27
1
R-beta: vectors in dataframe?
I have a file: x y z 0.025 0.025 1.65775 0.025 0.050 1.62602 0.025 0.075 1.63683 0.025 0.100 1.91847 0.025 0.125 2.00913 0.025 0.150 1.82222 0.025 0.175 1.70901 0.025 0.200 1.39759 0.025 0.225 1.39089 0.025 0.250 1.04762 If I read the file like this: data<-read.table("file.dat") How do I access the vectors x,y,z that are inside the dataframe data? I studied Venables and
2007 Sep 21
3
Line Graph - Greater than 2 variables on plot
Hello all, I was wondering if anyone knew how to construct a multiple line graph on R, where there are 2 (or more) sets of data points plotted against some x axis of data, and you can draw a line on the graph connecting each set of data points. For example: A B C D 0.6566 2.1185 1.2320 5 0.647 2.0865 1.2325 10 0.6532
2005 May 18
4
standardization
SAS Enterprise Miner recommendeds to standardize using X / STDEV(X) versus [X ? mean(X)] / STDEV(X) Any thoughts on this? Pros Cons Philip
2007 May 10
1
Barplot by two variables
Hi all I have a bit of a problem. I want to make a barplot of some data. My data is of a score that is separated by year and by a limit (above 3 and below 3 to calculate the score). Year Limit HSS 1999 ALT 0.675 1999 VFR 0.521 2000 ALT 0.264 2000 VFR 0.295 I would like to have a barplot with year on the x axis and HSS on the y axis and the two limits as two different colors to show the
2013 Mar 22
1
Integration of vector syntax unknown
Hello, I'm very new to using R, but I was told it could do what I want. I'm not sure how best to enter the information but here goes... I'm trying to transfer the following integral into R to solve for ln(gamma_1), on the left, for multiple instances of gamma_i and variable N_i. gamma_i is, for example, (0, 0.03012048, 0.05000000, 0.19200000, 0.44000000, 0.62566845) N_i (N_1 or
2009 Jan 31
1
thurston case 5
Hi, I hope some one can help. I need to compute Thurston's case 5 on a large set of data. I have gotten as far as computing the proportional preference matrix but the next math is beyond me. Here us my matrix 0.500 0.472 0.486 0.587 0.366 0.483 0.496 0.434 0.528 0.500 0.708 0.578 0.633 0.554 0.395 0.620 0.514 0.292 0.500 0.370 0.557 0.580 0.615 0.329 0.413 0.422 0.630 0.500 0.783 0.641 0.731
2005 Feb 03
1
Bug Report. Replay-gain and ogg.
I just bought an I Audio mobile device (Btw, these thigns are the coolest players on the face of the earth.. might want to check em out). It plays ogg vorbis files rather nicely. My whole music library is sitting in flac format. When I encoded my flac files (the majority a year ago) I used replay gain to save the album and track information if the flac file. Unfortunately, the I audio doesnt like
2008 May 28
1
Grouped weighted.mean
Dear all -- I want to compute weighted.mean() for grouped rows. Data frame extract is just below. For each Key, I want the mean of IAC weighted by Wt. DP0[1:20,] Key IAC Wt 2 C3-PD030020050.PD030020050.3.12.3.0 0.765 0.8590000 3 C3-PD030020050.PD030020050.3.12.3.0 0.764 0.8449651 4 C3-PD030020050.PD030020050.3.12.3.0
2010 Nov 17
3
stacking consecutive columns
I have a file, each column of which is a separate year, and each row of each column is mean precipitation for that month. Looks like this (except it goes back to 1964). month X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007 X2008 X2009 1 1.600 1.010 4.320 2.110 0.925 3.275 3.460 0.675 1.315 2.920 2 2.960 3.905 3.230 2.380 2.720 1.880 2.430 1.380
2009 Jun 22
1
How to make try to catch warnings in logistic glm
Dear list, >From an earlier post I got the impression that one could promote warnings from a glm to errors (presumably by putting options(warn=1)?), then try() would flag them as errors. I?ve spent half the day trying to do this, but no luck. Do you have an explicit solution? My problems is that I am trying to figure out during what conditions one may find 5 significant parameters in a
2001 Aug 17
2
Principle Component Analysis
I have the manual for S+ 6 and I'm trying to use R for the Principle Component Analysis example and I'm getting a few interesting answers... The log is as follows: R : Copyright 2001, The R Development Core Team Version 1.3.0 (2001-06-22) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type `license()' or
2004 May 20
4
pmvt problem in multcomp
Hi, all: Two examples are shown below. I want to use the multiple comparison of Dunnett. It succeeded in upper case "example 1". However, the lower case "example 2" went wrong. In "example 2", the function pmvt return NaN, so I cannot show this simtest result. Is there any solution? (I changed the variable "maxpts" to a large number in front of the
2012 Aug 18
1
Parameter scaling problems with optim and Nelder-Mead method (bug?)
Dear all, I?m having some problems getting optim with method="Nelder-Mead" to work properly. It seems like there is no way of controlling the step size, and the step size seems to depend on the *difference* between the initial values, which makes no sense. Example: f=function(xy, mu1, mu2) { print(xy) dnorm(xy[1]-mu1)*dnorm(xy[2]-mu2) } f1=function(xy) -f(xy, 0,
2008 May 22
1
mixed model resuts from SAS and R
Hi, I was wondering if there is a way to figure out why in SAS random beta coefficients are 0 vs. in R the beta-s are non zero. The variables of the data are nidl, time, and sub (for subject). Time and nidl are continuous variables. I am applying random coefficients model. Any input is greatly appreciated, Thanks, Aldi 1. mixed model in SAS: ====================== ods output SolutionR =
2006 Apr 12
0
how to interpret the results of a simint call
Hi all, I've done some anovas, found some significance and proceeded to do the post hoc tests to determine the source of the significance. I used the multcmp package as suggested by Andy Liaw (thank you). I am, however, unsure how to interpret the results of the call to simint. Could someone help me with this? I've attached the code and the results it produced. There are 3 groups
2008 Mar 21
0
How to Package Extra Results to summary.lm
Dear R users, I came up with some simple functions to give me the standard betas and tolerance values from a predefined lm() model. I have been trying to insert the results from these functions into the coefficients matrix in a modified summary.lm function that I'm calling summary2 (I'd never edit the summary.lm function directly!!). I managed to get the results inserted into the
1998 Mar 13
1
R-beta: New user - looking for help with ANOVA
Hi I've just installed R on our Sun kit in the lab and on my Linux box at home. My statistical expertise is not advanced - I have completed Open University probability and statistics courses, and been using Gary Perlmans !STAT package for analyses of variance, descriptive stats, linear regression, non-parametric stats etc for 10 years or so. (so be gentle with me :-) ) However, R is
2018 May 15
0
Systemfit
... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal. On May 15, 2018 7:04:31 AM PDT, Bert Gunter
2018 May 15
2
Systemfit
OK, Let's try this again! Here is the reproducible script; it is long because I had to copy the panel dataset here. My question is related to systemfit; I don't know how to get the result for the entire panel. #Reproducible script Empdata<- read.csv("/Users/ngwinuiazenui/Documents/UPLOADemp.csv") View(Empdata) install.packages("systemfit")
2018 May 15
1
Systemfit
Unless there is good reason not to, always cc the list -- there are lots of smarter folks than I on it who can help. I may or may not have time to look at this. Hopefully someone else will. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip