search for: neg

I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() Thank you! the data use...

Hi all (really probably just Deepayan): In the plot below I want to add text on either side of each violin plot that indicates the number of observations that are either positive or negative. I'm trying to do this with ltext() and I've also monkeyed about with panel.text(). The code below is generally what I want but my calls to ltext() are wrong and I'm not sure how to fix them. Right now they replicate the first column of the matrices obs.pos and obs.neg for each pan...

Hi, I have a problem sorting and selecting entries within a data-frame and I don't know if it is possible to solve it with R ... (probably yes, but I have no idea how). Following Data; row1 row2 a 12 pos NA a 3 neg NA a 5 neg NA a 11 pos NA I want to extract the values in row 2 in the lines with an "a" in row1. But I want to have two vectors: vector x with all a-values (in row2) when the label in the next line is "pos" and vector y with all a-values when the label in the next li...

Hi, I want to fit a GEE with a negative binomial distribution. I have uesd already a poisson glm and then neg binommial to deal with alot of dispersion. In my neg binomial residuals i have some patterns so i have implemented a GEE, but only with a poisson family as i couldnt with neg binomial. However the residual patterns in fac...

...ing example. Besides different colors for different groups of nodes: --> geom_node_point(aes(size = V(network)$hub_score*200, color= as.factor(V(network)$community))) I additionally want to consider different colors for different edge groups The grouping is defined in the edge_list$relationship: negative relationship = red and positive relationship = darkblue. The code is working in the way that the groups are separated by two colors. However, the code uses not the assigned colors. Does anyone have any idea how to adapt the code? --> geom_edge_arc(curvature=0.3, aes(width=(E(network)$weigh...

How can I generate LLVM IR for both logical NEG (!)? For example, if I have Int32Ty a, For the bitwise NEG(~): c = ~a ; I can use the following API from LLVM: BinaryOperator *neg = BinaryOperator::CreateNeg(nbits, "bitwiseNEG", insertBefore); How, if I want to generate logical NEG: c = !a; what should I do for this? Thanks ----...

Dear all, ## I have 4 tables like this: satu <- array(c(5,15,20,68,29,54,84,119), dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black", "Brown", "Red", "Blond"))) dua <- array(c(50,105,30,8,29,25,84,9), dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black", "Brown", "Red&q...

Hello all! I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() the data used is: Year...

Dear R users, I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() the data used is: Year...

...lt;- dpois(as.numeric(dimnames(tab)[[1]]), NSU.Mean) * NSU chi2 <- sum(((as.vector(tab) - exp)^2) / exp) tab exp chi2 I have some small expected values and so need to collapse some categories. If anyone has code to do that already ... but my question is how would I do the same for a negative binomial distribution? Mark -- Mark Myatt -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body&quo...

Hi userRs! I am trying to fit some GLM-poisson and neg.binomial. The neg. Binomial model is to account for over-dispersion. When I fit the poisson model i get: (Dispersion parameter for poisson family taken to be 1) However, if I estimate the dispersion coefficient by means of: sum(residuals(fit,type="pearson")^2)/fit$df.res I obtained 2.4...

...mentioned in http://lists.osdl.org/pipermail/bridge/2004-September/000619.html to pppd 2.4.2. The kernel patch still works without problems with kernel 2.4.30. Perhaps someone else could use this patch ... Here again some documentation i have found about the BCP patch somewere else: When pppd negotiates BCP, it tells the kernel PPP driver to enable bridging. The kernel creates a device named "bcpX" where X matches the "pppX" device that would be used for IP communication (assuming I did not make a mistake). Pppd runs the script /etc/ppp/eth-up, which is a good place to...

...t;DOCUMENT 1" [1] "WORD: excited CAT: positive POL: strongsubj SCORE: 8.44419229853175" [1] "WORD: happy CAT: positive POL: strongsubj SCORE: 8.44419229853175" [1] "WORD: optimistic CAT: positive POL: weaksubj SCORE: 7.7510451179718" [1] "POS: 25.670707456461 NEG: 0.445453222112551 RATIO: 57.6282899800754" [1] "DOCUMENT 2" [1] "WORD: annoyed CAT: negative POL: strongsubj SCORE: 9.0300168178449" [1] "WORD: irritated CAT: negative POL: strongsubj SCORE: 9.0300168178449" [1] "WORD: scared CAT: negative POL: strongsubj S...

...erent colors for different groups of nodes: > --> geom_node_point(aes(size = V(network)$hub_score*200, color= > as.factor(V(network)$community))) > I additionally want to consider different colors for different edge > groups > The grouping is defined in the edge_list$relationship: negative > relationship > = red and positive relationship = darkblue. The code is working in the > way > that the? groups are separated by two colors. However, the code uses not > the > assigned colors. Does anyone have any idea how to adapt the code? > --> geom_edge_arc(curvatu...

Dear useRs, I got stuck trying to generate a palette of topographic colors that would satisfy these two requirements: - the pallete must be 'anchored' at 0 (just like on a map), with light blue/lawn green corresponding to data values close to 0 (dark blue to light blue for negative values, green-yellow-brown for positive values) - the brown must get darker for higher positive values. topo.colors() fails both requirements and AFAICS lacks any options to control its behavior. #---unsatisfactory topo.colors() behavior topoclr <- function(tgt) { clr <- topo...

...o 1 in a <N x i1> vector type? I used bitcast instruction to cast it into "iN" first and them compare iN to 0. Do you have a better way to do it? Thanks again. On Fri, Apr 10, 2015 at 5:22 PM, Bruce Hoult <bruce at hoult.org> wrote: > LLVM doesn't have a "logical neg" (or "not") operator. That's a C thing. > Do a compare against 0 to create an i1 result, then zero extend the i1 to > the size of integer result you want. > > > On Sat, Apr 11, 2015 at 12:07 PM, zhi chen <zchenhn at gmail.com> wrote: > >> How can I g...

Dear all, I have a dataset. I want to make barplot from this data. Zero1 <- " V1 V2 V3 V4 V5 V6 V7 V8 V9 1 1 0 0 0 1 0 0 0 Positive 2 0 0 1 0 1 0 1 1 Negative 3 0 0 1 0 0 0 1 1 Positive 4 0 1 0 1 1 1 0 1 Negative 5 0 0 1 0 1 1 0 0 Positive 6 0 1 0 0 1 1 1 1 Negative 7 1 0 1 1 1 1 1 1 Negative 8 0 0 0 0 1 0 0 1 Negative 9 0 1 1 1 1 0 0 1 Negative 10 0 0 0 1 1 0 1 0 Positive 11 0...

...v A.A B.B C.C D.D E.E F.F A.A 0 0 5 5 5 5 B.B 4 0 1 1 1 1 C.C 5 5 0 5 4 2 D.D 5 0 5 0 5 3 E.E 5 1 5 5 0 4 F.F 1 2 3 4 5 5 Edges_table-Test.csv Names target weight relationship B.B A.A 4 pos C.C A.A 5 pos D.D A.A 5 neg E.E A.A 5 pos F.F A.A 1 pos C.C B.B 5 pos E.E B.B 1 pos F.F B.B 2 neg A.A C.C 5 pos B.B C.C 1 pos D.D C.C 5 pos E.E C.C 5 pos F.F C.C 3 pos A.A D.D 5 neg B.B D.D 1 pos C.C D.D 5 pos E.E D.D 5 pos F.F D.D 4 pos A.A E.E 5...

Dear all, I have a puzzle regarding the estimation of Neg. Binomial event count model in R. I would greatly appreciate if anyone could shed some light on my puzzle. Using the glm.nb command, or the zelig command developed by Gary King et. al., I obtain the same point estimates in R as well as in Stata. However, if I write my own likelihood function t...

...w in the same chart the semn values (significant values (pointer over 50)). I try this code, but only for pointer values. ggplot(data, aes(x = Year, y = pointer)) + geom_bar(stat="identity") please help me with this problem. I use this data: Year variable pointer variable semn 1 1901 neg 0.00 sneg NA 2 1902 neg 0.00 sneg NA 3 1903 neg 0.00 sneg NA 4 1904 neg 0.00 sneg NA 5 1905 neg -100.00 sneg -100.00 6 1906 neg -100.00 sneg -100.00 7 1907 neg -50.00 sneg NA 8 1908 neg -66.67 sneg -66.67 9 1909 neg 0.00 sneg NA 10 1910 neg -66.67 sneg -66.67 112 1901 poz 0.00 spoz NA 113 1902 poz...