r

Generalized Linear Model output through texreg

为君一笑 提交于 2021-02-19 06:15:48
问题 I can use texreg to get beautiful output of glm to be used for knitr . Sometimes we need to convert the output of glm back to response using inverse link. I wonder how to get inverse link output with texreg . Something like texreg(exp(glm.D93)) . counts <- c(18,17,15,20,10,20,25,13,12) outcome <- gl(3,1,9) treatment <- gl(3,3) d.AD <- data.frame(treatment, outcome, counts) glm.D93 <- glm(counts ~ outcome + treatment, family = poisson()) library(texreg) texreg(glm.D93) which produces \begin

R delete rows based on values in previous rows

匆匆过客 提交于 2021-02-19 06:15:15
问题 I am new to R and trying to delete rows based on values of previous rows. Sample data: Cust_ID | Date | Value 500219 | 2016-04-11 12:00:00 | 0 500219 | 2016-04-12 16:00:00 | 0 500219 | 2016-04-14 11:00:00 | 1 500219 | 2016-04-15 12:00:00 | 1 500219 | 2016-05-23 09:00:00 | 0 500219 | 2016-05-02 19:00:00 | 0 500220 | 2016-04-11 12:00:00 | 0 500220 | 2016-04-14 11:00:00 | 1 500220 | 2016-04-15 12:00:00 | 1 500220 | 2016-05-23 09:00:00 | 0 500220 | 2016-05-02 19:00:00 | 0 I would like to maintain

Generalized Linear Model output through texreg

余生长醉 提交于 2021-02-19 06:15:14
问题 I can use texreg to get beautiful output of glm to be used for knitr . Sometimes we need to convert the output of glm back to response using inverse link. I wonder how to get inverse link output with texreg . Something like texreg(exp(glm.D93)) . counts <- c(18,17,15,20,10,20,25,13,12) outcome <- gl(3,1,9) treatment <- gl(3,3) d.AD <- data.frame(treatment, outcome, counts) glm.D93 <- glm(counts ~ outcome + treatment, family = poisson()) library(texreg) texreg(glm.D93) which produces \begin

Generalized Linear Model output through texreg

痞子三分冷 提交于 2021-02-19 06:15:09
问题 I can use texreg to get beautiful output of glm to be used for knitr . Sometimes we need to convert the output of glm back to response using inverse link. I wonder how to get inverse link output with texreg . Something like texreg(exp(glm.D93)) . counts <- c(18,17,15,20,10,20,25,13,12) outcome <- gl(3,1,9) treatment <- gl(3,3) d.AD <- data.frame(treatment, outcome, counts) glm.D93 <- glm(counts ~ outcome + treatment, family = poisson()) library(texreg) texreg(glm.D93) which produces \begin

Visnetwork plot is not saved as png image

半城伤御伤魂 提交于 2021-02-19 06:07:48
问题 I plot a simple network using visNetwork but when I try to save it as png I get an empty image as a result. png("ex.png") require(visNetwork, quietly = TRUE) # minimal example nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges, width = "100%") dev.off() 回答1: You can save the network as html and then capture the content of that file: nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) library(visNetwork) plot<-

Recasting nested list of any depth

杀马特。学长 韩版系。学妹 提交于 2021-02-19 06:06:54
问题 Assume this simplified example: L <- list() L$Foo <- list() L$Foo$Bar <- list() L$Foo$Bar$VAR <- TRUE L$Lorem <- list() L$Lorem$Ipsum <- list() L$Lorem$Ipsum$Dolor <- list() L$Lorem$Ipsum$Dolor$VAR <- TRUE I will then melt this list with reshape2::melt(L) . That will output the following: value L3 L2 L4 L1 1 TRUE VAR Bar <NA> Foo 2 TRUE Dolor Ipsum VAR Lorem After some operations on certain cells in the value column, I'm then looking to recast this melted list into the exact same nested list

Visnetwork plot is not saved as png image

跟風遠走 提交于 2021-02-19 06:06:29
问题 I plot a simple network using visNetwork but when I try to save it as png I get an empty image as a result. png("ex.png") require(visNetwork, quietly = TRUE) # minimal example nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges, width = "100%") dev.off() 回答1: You can save the network as html and then capture the content of that file: nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) library(visNetwork) plot<-

Merge data frame based on vector key

爱⌒轻易说出口 提交于 2021-02-19 06:06:09
问题 I'm an absolute beginner and am hoping someone will be able to help me with a merge problem that I've been stuck on for most of this evening and have thus far been unable to successfully adapt solutions to similar problems to this particular example. I've made a dummy data frame and vector to help illustrate my problem: dumdata <- data.frame(id=c(1:5), pcode=c(1234,9876,4477,2734,3999), vlo=c(100,450,1000,1325,1500), vhi=c(300,950,1100,1450,1700)) id pcode vlo vhi 1 1234 100 300 2 9876 450

Adding rows to a dataframe based on column names and add NA to empty columns

∥☆過路亽.° 提交于 2021-02-19 06:01:27
问题 What I am asking is probably quite simple but I still didn't figure out a quick and simple way to do it. I have data frame with 96 columns from A1 to H12. I will start receiving files every week that I want to compile in one single data frame. The problem is that this files miss some of the columns (that can be the first columns or any other column in the middle) thus making the merge slightly nasty. Here is a sample of what I have: t = data.frame(A1 = c(1,2,3,4,5), B1 = c(7,8,9,10,11), C1 =

Appending file name to data frame in R

前提是你 提交于 2021-02-19 06:00:10
问题 I want to append the file name to my table, but it seems it is not really working. What I am doing is iterating over a list of filenames, opening them, appending all the data to one data frame and for each appended file I want to add its file name. I expect it to be appended on each row, so that later when I look at the data, I would know from which file is the given row originating. But it seems that it is not working as expected. data <- data.frame() for (file in files){ name = strsplit