similar to: What is "The Rails Way" to do this?

Hi. I am very new to R and have been diligently working my way through the manual and various tutorials. I am now trying to work with some of my own data and have encountered a problem that I need to fix. I have a dataframe with 8 columns and approximately 850 rows. I have provided an excerpt of the dataframe below. Within column 6 (Question) the numbers 1:33 repeat down the entire column.

Dear Dr. Bivand and R-users, I have a 5 by 5 grid, say, location[1:5,1:5], and I want to know the indices of 8 neighbours of each cell. For example, for location[2,2], its neighbour coordinates are [1,1:3], [2,1], [2,3] and [3,1:3]. Sometimes I also need to remove edge effects (torus = TRUE). I have tried "cell2nb" function in your spdep package. Here's my example: > neigh

Dear all, I have a matrix X which consists of 2 columns. I would like to convert this matrix into a list where every entry of the list consists of a single row of the matrix. Does anyone have a suggestions how to manage this? Thank you for your efforts in advance! Best, Martin [[alternative HTML version deleted]]

Hello, I have a large (919 X 919), hierarchically clustered heatmap that I would like to read the labels off of. I have tried saving the figure in pdf format and enlarging it until I can see the labels, but if I make the labels small enough to read (so that they don't overlap) using cexRow and cexCol, they do not appear in the pdf. The limit seems to be anything below cexRow or Col = 0.06.

The source of the incompatibility: In S-PLUS 6.2: > methods("unique") splus splus menu splus "unique.data.frame" "unique.default" "unique.name" "unique.rowcol.names" In R-1.9.1: > methods("unique") [1] unique.array unique.data.frame unique.default unique.matrix

Hola, cómo andan! Tengo el siguiente problema. Tengo una pregunta cuya respuesta es múltiple, pero en en la base están todas las respuestas en una misma variable y cada respuesta está separada por ",". Así está [image: image.png] Hago esto para poder separar en columnas las distintas respuestas: *mult_bas_dat<-mult_bas_dat %>% separate_rows(bases, sep = ",")