similar to: removing a word, the following space and the next word

A basic question, but one that eludes me. I have created a new variable $numurder, which I have rounded off. I want to save the rounded off version of this variable to an existing datafile called 'ngri.csv' . numurder <-c((murder*no.of.cases)/100) [[1]] [1] 48.952 112.073 182.160 974.610 122.140 663.432 150.856 18.988 137.925 198.045 68.930 203.148 30.056 100.955

Hello, Below is the code for a basic bar graph. I was seeking advice regarding the following: (a) For each time period there are values from 16 people. How I can change the colour value so that each person has a different colour, which recurs across each of the three graphs/tie epriods? (b) I have seen much more sophisticated examples using lattice (e.g each person has a separate

Hello, I am hoping someone can advise me regarding an error message I received and if needed, refine some syntax. I am wanting to calculate the word count for each row of a dataframe. Below, I have 3 variables ("V3.PD", "V3.HD", "V3.LP") which I want to obtain a word count for, by each row which contains these variables. Any assistance is much appreciated, Bob

?s 23:06 de 25/07/2023, Bob Green escreveu: > Hello, > > I am seeking advice as to how I can download the 833 files from this > site:"http://home.brisnet.org.au/~bgreen/Data/" > > I want to be able to download them to perform a textual analysis. > > If the 833 files, which are in a Directory with two subfolders were on > my computer I could read them

An earlier post had posed the question: "Does anybody know what is relation between 'T' value calculated by 'wilcox_test' function (coin package) and more common 'W' value?" I found the question interesting and ran the commands in R and SPSS. The W reported by R did not seem to correspond to either Mann-Whitney U, Wilcoxon W or the Z which I have more

I am hoping for some advice regarding ordering a dataframe, by date. The dataframe is in the format below. $story $datepub story10 1 April 1999 story 90 1 March 2002 story 37 10 July 1985 I want to reorder the entire dataframe so the earliest story is first, and save the reordered dataframe. The command, 'class' (datepub) reveals $datepub is a factor variable. I tried

I am hoping for some advice as to how to modify the following syntax, so that instead of saving all records which refer to Farrah, I select all instances that do not include Farrah, or the word Coolum. test <- read.csv("c:\\newdat.csv", as.is=TRUE, header=T) sure <- test[grep('Farrah', paste(test$V3.HD, test$V3.LP, test$V3.TD)),]

Hello, I was hoping for some advice in changing 2 defaults in a logistic regression. 1. It looks like the first category is the reference category? In the following syntax 'where' has 4 levels, how can I make the reference category the third category? model<- glm(cbind(sucesses, failures) ~ where + who + firstep + dxnarrow + age + sex + medyear, family = binomial, data=life.use)

Hello, I am hoping for some advice as to how I can prorate a number of scale items that comprise a score. At least 69 of 159 cases have at least 1 value missing (65 cases have H7 missing). The maximum number of missing is 5. I want to compute a total score, a score for the H items, the R items and C items. H1, H2, H3, H4, H5, H6, H7, H8, H9, H10, C1, C2, C3, C4, C5, R1, R2, R3, R4, R5 I am

I have to create a plot with a print density of 600 dpi . Within R, is there a way to determine the print density of a plot? Any assistance is much appreciated, regards Bob

hello, I am hoping for some advice regarding comparing variables from 3 versions of a spreadsheet which have been combined into a single dataframe. The aim is to identify which rows have been changed. The dataframe contains 177 rows of data (each cell contains text). 'intersect' produced a file with 35 rows, 'union' a file with 303 rows and 'setdiff' a file with 130

I am looking into using the multinomial logistic regression option in the nnet library and have two questions about formatting the data. 1. Can data be analysed in the following format or does it need to be transformed into count data, such as the housing data in MASS? Id Crime paranoia hallucinate toc disorg crimhist age 1 2 1 0 1 0 1 25 2 2 0 1 1 1 1 37 3 1 1 0 1 1 0 42 4 3 0

So my Macbook''s battery sucks... and I''m thinking of grabbing a new one, I''m curious how the availability of power outlets have been at RailsConfs. For those who have gone before, was it hard to find an outlet to plug into? Are they mindful of this? I hope so. Thanks in advance. --~--~---------~--~----~------------~-------~--~----~ You received this message because

I have a frustrating issue which I am hoping someone may have a suggestion about. I am running XP and R 2.12.0 and saved an EXCEL file that I was sent as a csv file. The initial code I ran follows. dec <- read.csv("g://FMH/FO30122010.csv",header=T) dec.open <- subset (dec, Status == "Open") table(dec.open$AMHS) I was checking the output and noticed a difference

I am hoping for some advice regarding the difficulties I have been having recoding variables which are contained in a csv file. Table 1 (below) shows there are two types of blanks - as reported in the first two columns. I am using windows XP & the latets version of R. When blanks cells are replaced with a value of n using syntax: > affect [affect==""] <- "n" there

Hello, I was hoping for some advice on improving a barplot. Below is the syntax I have used. I wanted to do two things differently How would I alter the syntax so that (a) the y-axis finishes at 25 and not 20, and (b) 'past ideation' and 'pastwk ideation' are coloured blue and 'past attempt' & 'past wk attempt' are coloured red ? I was also curious as to

Hello, I am seeking advice regarding how I might add the prefix " kc$ " to variables in a series of commands. The complication is that there is a large number of variables with different commands. Examples of the variables in typical commands follow. It is simple to use search & replace for common variables such as "group" but I would appreciate advice about whether

I am hoping for some advice on the following matters. I have a csv data file with 153 variables x 92 rows. To determine what the variables looked like I ran the summary command. One variable had a large number of missing values 54/92. For some reason, all subsequent 74 variables are reported as having 92 NA values, irrespective of whether the original csv variable was complete or not.

The CPU on my computer 'died' and I have had to purchase a new computer. I have just installed v 2.6.2. My previous computer had v 2.5.1 and a large number of files in the library folder. These files have been copied to a partition on my new hard drive, along with the old R installation. Can I just copy all the folders/files in the old library to the new v2.6.2 library or do the

I have the following script for generating a dataset. It works like a champ except for a couple of things. 1. I need the variables "itbs" and "map" to be negatively correlated with the binomial variable "lunch" (around -0.21 and -0.24, respectively). The binomial variable "lunch" needs to remain unchanged. 2. While my generated variables do come out