search for: weight

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2000 Jan 04
0
Stepwise logistic discrimination - II
...+351-22-5580043 -------------- next part -------------- > nose20s.mu <- multinom(Spoilage ~ FRAG25 + FRAG26 + FRAG27 + FRAG28 + FRAG29 + FRAG30 + FRAG31 + FRAG32 + FRAG33 + FRAG34 + FRAG35 + FRAG36 + FRAG37 + FRAG38 + FRAG39 + FRAG40 + FRAG41 + FRAG42 + FRAG43 + FRAG44 + FRAG45 , nose126s) # weights: 92 (66 variable) > nose20s.mu Call: multinom(formula = Spoilage ~ FRAG25 + FRAG26 + FRAG27 + FRAG28 + FRAG29 + FRAG30 + FRAG31 + FRAG32 + FRAG33 + FRAG34 + FRAG35 + FRAG36 + FRAG37 + FRAG38 + FRAG39 + FRAG40 + FRAG41 + FRAG42 + FRAG43 + FRAG44 + FRAG45, data = nose126s) Coeffi...
2012 Oct 08
5
weighted cumulative distribution with ggplot2
Dear all, I am trying to draw a weighted cumulative distribution (as defined here http://rss.acs.unt.edu/Rdoc/library/spatstat/html/ewcdf.html) with ggplot2 however the syntax temp<-qplot(X,weight=weight,data=data,stat = "ecdf", geom = "step",colour=factor(year)) seems not to produce...
2006 Aug 30
7
working with summarized data
The data sets I am working with all have a weight variable--e.g., each row doesn''t mean 1 observation. With that in mind, nearly all of the graphs and summary statistics are incorrect for my data, because they don''t take into account the weight. **** For example "median" is incorrect, as the quantiles aren'&...
2010 Apr 16
5
Weights in binomial glm
I have some questions about the use of weights in binomial glm as I am not getting the results I would expect. In my case the weights I have can be seen as ''replicate weights''; one respondent i in my dataset corresponds to w[i] persons in the population. From the documentation of the glm method, I understand that the weights...
2013 Jan 08
4
Problem getting loess tricubic weights
Hi I am trying to get the tricube weights from the loess outputs as I need to calculate an error function which requires the weight. So I have used the following example from the R: cars.lo <- loess(dist ~ speed, cars, span=0.5, degree=1, family="symmetric") Then i try to get the weights: cars.lo$weights [1] 1 1 1 1 1 1...
2011 Oct 21
3
lattice::xyplot/ggplot2: plotting weighted data frames with lmline and smooth
In the HistData package, I have a data frame, PearsonLee, containing observations on heights of parent and child, in weighted form: library(HistData) > str(PearsonLee) ''data.frame'': 746 obs. of 6 variables: $ child : num 59.5 59.5 59.5 60.5 60.5 61.5 61.5 61.5 61.5 61.5 ... $ parent : num 62.5 63.5 64.5 62.5 66.5 59.5 60.5 62.5 63.5 64.5 ... $ frequency: num 0.5 0.5 1 0.5 1 0.25...
2010 Feb 02
19
tapply for function taking of >1 argument?
I''m sure I can put this together from the various ''apply''s and split, but I wonder if anyone has a quick incantation: E.g. I can do tapply( data, groups, mean) but how can I do something like: tapply( list(data,weights), groups, weighted.mean ) ? (or: mapply is to sapply as ? is to tapply ) Thanks for your help. -- View this message in context: http://n4.nabble.com/tapply-for-function-taking-of-1-argument-tp1460392p1460392.html Sent from the R help mailing list archive at Nabble.com.
2008 Jun 03
3
Rpart and case weights: working with functions
I can''t get rpart accept case weights defined inside a function. It keeps using the copy defined in the "global" environment (if they exists) instead of the function-defined ones. Here is what I do: test.function <- function (formula, data) { weights <- rep(.1, 100) rpart(formula, data, weights) } test.functi...
2010 Feb 01
6
Weighted SD
Dear all, what function can be used to calculate weighted SD or/and SE? There''s no such stuff in ''base'' package. Best regards, A.A.Morkovin
2008 Sep 27
3
Double integration - Gauss Quadrature
...ld like to use Gauss Quadrature to do it. I have written the following code (using R''s statmod package) which works fine for one integral but it doesn''t work for a double one: # Gauss-Legendre abscissas nodes <- gauss.quad.prob(25,dist="uniform",l=-1,u=1)$nodes # and weights weights <- gauss.quad.prob(25,dist="uniform",l=-1,u=1)$weights weights <- weights*2 # Approximate integral of f from a to b using Gauss-Legendre gauss_legendre<-function(f,a,b,nodes,weights) { # change of variables from [-1,1] to [a,b] ab_nodes <- a + (b-a)*(nodes+1)/...
2006 Jul 10
2
weights in glmrob
Dear List members, I am runnning a logistic regression that includes sample weights (expressed by a variable called WEIGHT) using glmob (from robustbase). My model looks like this: B12<-glmrob(SERE~COMP+COM,family=binomial,weights=WEIGHT) When I include the weights, my standard error columns, as well as the p-values, show only NAs. If I exclude weights=WEIGHTS,...
2003 Jun 22
2
Using weighted.mean() in aggregate()
Dear R users, I have a question on using weighted.mean() while aggregating a data frame. I have a data frame with columns Sub, Length and Slope: > x[1:5,] Sub Length Slope 1 2 351.547 0.0025284969 2 2 343.738 0.0025859390 3 1 696.659 0.0015948968 4 2 5442.338 0.0026132544 5 1 209.483 0.0005304225 and I would like t...
2010 Jan 10
1
xmlToDataFrame#Help!!!#follow-up
...ngular data array. I''ve been trying to play with parameters to the xmlToDataFrame function in the XML package but I dont get it to extract the data frame. Reading the file with xmlTreeParse seems to work without error. This is what the result should look like: Name Sex Age Height Weight 1 Alfred M 14 69.0 112.5 2 Alice F 13 56.5 84.0 3 Barbara F 13 65.3 98.0 4 Carol F 14 62.8 102.5 5 Henry M 14 63.5 102.5 6 James M 12 57.3 83.0 7 Jane F 12 59.8 84.5 8 Janet F 15 62.5 112.5 9 Jeffrey M 13 62.5 84.0 10...
2011 Aug 02
4
density plot for weighted data
I''m trying to create a density plot using census data, where the weights don''t sum to 1. >plot(density(oh$FINCP,weights=oh$PWGTP)) Warning message: In density.default(oh$FINCP, weights = oh$PWGTP) : sum(weights) != 1 -- will not get true density How would I go about doing this? Thanks!
1999 Mar 26
0
anova problem:
...or data frame Any idea where it comes from? Many thanks. Here is the fit and the attempted anova: > fit Call: lm(formula = as.formula(paste(chemical, "a~", cmd, sep = "")), singular.ok = TRUE) Coefficients: (Intercept) Odom Displace Weight -1.440e+00 2.936e-02 9.276e-01 -2.619e+00 HC1b HC2b CO1b CO2 8.974e-01 -1.223e-01 -3.695e-01 2.484e-01 NOX2 R00001 R00010 R00011 2.738e-01 -1.498e+0...
2009 Oct 20
2
Weighted Logistic Regressions using svyglm
I?m running some logistic regressions and I?ve been trying to include weights in the equation. However, when I run the model, I get this warning message: Here?s what it says: Warning message: In eval(expr, envir, enclos) : non-integer #successes in a binomial glm! I think it is because the weights are non-integer values. What is a good way to run logistic regressions...
2006 Mar 16
5
DIfference between weights options in lm GLm and gls.
Dear R-List users, Can anyone explain exactly the difference between Weights options in lm glm and gls? I try the following codes, but the results are different. > lm1 Call: lm(formula = y ~ x) Coefficients: (Intercept) x 0.1183 7.3075 > lm2 Call: lm(formula = y ~ x, weights = W) Coefficients: (Intercept) x 0.04193 7....
2009 Apr 22
1
converting histogram to barchart
Hi list, After a lot of tweaking i have managed to create a histogram with an overlaying density plot. The histogram shows a sample of birth weights of babies and the density plot shows birth weights from a much larger reference populaton. My data is divided in 0.1 Kg bins so in the code below binweigh=0.1. The trouble with the current graph is that it is not very clear since the density plot overlay the histogram and obfuscates it. My plan t...
2005 Jan 27
4
weighting in nls
...s to some growth data but I''m getting radically different results in R to another program (Prism). Furthermore the values from the other program give a better fit and seem more realistic. I think there is a problem with the results from the r nls function. The differences only occur with weighted data so I think I''m making a mistake in the weighting. I''m following the procedure outlined on p 244 of MASS (or at least I''m trying to). Thus, I''m using mean data with heteroscedasticity so I''m weighting by n/ variance, where the variance is well...
2008 Oct 07
3
weighted quantiles
I have a set of values and their corresponding weights. I can use the function weighted.mean to calculate the weighted mean, I would like to be able to similarly calculate the weighted median and quantiles? Is there a function in R that can do this? thanks, Spencer [[alternative HTML version deleted]] ____________________________________________...