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Hey R users, suppose we have data: [1] 2010.12.26 00:00:52 688,88 11,69 43,00 [2] 11,69 43,00 [3] 11,69 43,00 [4] 11,69 43,00 [5] 11,69 43,00 [6] 11,69 43,00 [7] 11,69 43,00 [8] 11,69 43,00 [9] 11,69 43,00 [10] 11,69 43,00 [11] 11,69 43,00 [12] 11,69 43,00 [13] 11,69 43,00 [14] 11,69 43,00 [15] 11,69

Dear R users, I came up to a problem by taking means (or other summary statistics) of a big dataframe. Suppose we do have a dataframe: ID V1 V2 V3 V4 ........................ V71 1 6 5 3 2 ........................ 3 2 3 2 2 1 ........................ 1 3 6 5 3 2 ........................ 3 4 12 15 3 2 ........................ 100

Dear R users, First of all I would like to thank all of you who replayed to my previous questions and problems. Thank you a lot for being great and helpful community. I highly appreciate your suggestions and ideas even if I do not respond after my question! But it means that your help was exactly what I needed. Thank you again! Now the following question I need help: Suppose I do have a

Dear R users, Could you share your knowledge on following problem: Suppose we have dataframe: ID TIME Data1 Data2 Data3 ........... Data700 1. 2013-01-01 00:00:00 34 53 66 ............ 55 2. 2013-01-01 00:00:01 333 4 5 ............ 50 3. 2013-01-01 00:00:02 and so

Hello R users, For the last few days I am struggling with the following task: my data.frame: A1 A2 A3 B1 B2 B3 58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15 10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218 13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934

Dear R users, I came up to a problem dealing with percentiles in R. >From my previous questions: I do have a big data.frame, with lots of columns and rows. The following command enables me to calculate means for all data frame. dat1$newID<-rep(1:(nrow(dat1)/12),each=12) #if nrow(dat1)/12 is integer dat2<-with(dat1,aggregate(cbind(dat1[,1:71]),by=list(newID),mean)) What I need is to

Dear R users, I use: mapImageData<- get_map(source="google", c(lon=21, lat=57), zoom=6, maptype="terrain") to get ggmapTemp.png file in the directory. The problem is - some city and park names overlay with my data points I want to plot on this map. Is there a way to get the map without city, country and park names? I get this using maptype="satellite", but I