search for: mmballar

Good Evening- I have a dataframe that has 10 columns that has a header and 7306 rows in each column, I want to combine these columns into one. I utilized the stack function but it only returned 3/4 of the data...my code is: where nfcuy_bw is the dataframe with 7305 obs. and 10 variables Once I apply this code I only receive a data frame with 58440 obs. of 2 variables, of which there should be

Afternoon- I am trying to subtract a matrix, basically a vector of 28 values, each by the same number to account for differences in regression fitting. I am taking the 1x28 and minus it by the mean value of the matrix, each number. The result I receive is a 1X29 matrix. Does anyone know why the result has an extra value? > lffeb_march [1] 6.588926 7.663877 6.917706 6.824374 7.029973

R Users- I have been trying to automate a manual code that I have developed for calling in a .csv file, isolating certain rows and columns that correspond to specified months: something to the effect i=name.csv N=length(i$month) iphos1=0 iphos2=0 isphos3=0 for i=1,N if month=1 iphos1=iphos+1 iphos1(iphos1)=i an so on to call out the months into there own arrays (unless there is a way I

Good Evening- I have a set of nine scenarios I want to plot to see how the distribution is changing, if one tail is getting larger in certain scenario, currently I am using this code colnames<-dimnames(sag_pdfs)[[2]] par(mfrow=c(3,3)) for(i in 1:9) { d<-density(sag[,i]) plot(d,type="n", main=colnames[i]) polygon(d,col="red",border="grey")} where sag is

Good Afternoon- I was wanting to alter the boxplot to remove the lower whisker, both the whisker line and staple just on the lower end. Is there a way to do this? As my code is currently: boxplot(log_loads~ind,data=nfmaum, horizontal=TRUE, notch=T, outline=FALSE, whisker=0, main="Maumee River Near Future Climate Scenarios", ylab="Log Load",xlab="Climate Scenarios")

I have two models, controlled by dummy variables to see if the models can be combined into one model with similar intercepts and slopes. Has anyone tried to conduct this type of test in R. I am utilizing the econometric idea of hypothesis testing through the hypothesis of coincidence. I have tried to run an anova with test of Chisq, but I am not sure what the results are telling. In addition, I