similar to: [help] deleting rows which contain more than 2 NAs or zeros

Canberra distance is defined in function `dist' (standard library `mva') as sum(|x_i - y_i| / |x_i + y_i|) Obviously this is undefined for cases where both x_i and y_i are zeros. Since double zeros are common in many data sets, this is a nuisance. In our field (from which the distance is coming), it is customary to remove double zeros: contribution to distance is zero when both x_i

Canberra distance is defined in function `dist' (standard library `mva') as sum(|x_i - y_i| / |x_i + y_i|) Obviously this is undefined for cases where both x_i and y_i are zeros. Since double zeros are common in many data sets, this is a nuisance. In our field (from which the distance is coming), it is customary to remove double zeros: contribution to distance is zero when both x_i

Hi Tobias, could we use information about memory accesses of a SCoP statement and def-use chains to determine statements, which don’t contain matrix multiplication of the following form? for (int i = 0; i < Upper Bound1; i++) for (int j = 0; j < Upper Bound2; j++) for (int k = 0; k < Upper Bound3; j++) C[i][j] += A[i][k] * B[k][j] We could probably check that memory access

On 05/17/2016 01:47 PM, Michael Kruse wrote: > 2016-05-16 19:52 GMT+02:00 Roman Gareev <gareevroman at gmail.com>: >> Hi Tobias, >> >> could we use information about memory accesses of a SCoP statement and >> def-use chains to determine statements, which don’t contain matrix >> multiplication of the following form? > > Assuming s/don't/do you want

Hi all, Can anyone suggest me how to insert rows in between data frames and also keep the ordering of row numbers correct? Estimate Std. Error t value Pr(>|t|) recmeanC2 9.275880e-17 6.322780e-17 1.467057e+00 0.14349903 recmeanC3 1.283534e-17 2.080644e-17 6.168929e-01 0.53781390

dear R-users, I am facing a quite regular and basic problem when it comes to dealing with datasets, but I cannot find any satisfying answer so far. I have a messy dataset of galaxies like that : And XVIII 000214.5+450520 0.69 17 9 0.00 -8.7 26.8 6.44 6.78 < 6.65 -44 0.5 MESSIER031 0.6 1.54 PAndAS-03 000356.4+405319 0.10 17 0.00 -3.6 27.8 4.38

something like ... > x<-c(1,2,3,0,5,6,0) > is.na(x[x==0])<-T > x [1] 1 2 3 NA 5 6 NA ~~~~~~~~~~~~~~~~ Robert Kinley ~~~~~~~~~~~~~~~~ [[alternative HTML version deleted]]

Dear R People: I have a data frame with some columns that are numeric and some which are factors. There are zeros in the numeric columns and I would like to change them to NAs. However, there are zeros in some of the factor columns, and I would like them to be left alone. Is there a "global" way to do this, please? I was thinking about use the results from "str" but am

I would like to remove rows from the following data frame (df) if there are only two specific elements found in the df$ch character string (I want to remove rows with only "0" & "D" or "0" & "d"). Alternatively, I would like to remove rows if the first non-zero element is "D" or "d".

Hi all, I have a binary matrix with NAs included. Each row and column includes at least one NA, so I don't want to omit them. Is there a way to sum across rows and columns, ignoring the NAs but not deleting the row or column? If not, I suppose I can write a loop function, but I have learned that it is best to stay away from loops if possible. Thanks for any help, Wade

Hello, I am stuck with selecting the right rows from a data frame. I think the problem is rather how to select them then how to implement the R code. Consider the following data frame: df <- data.frame(ID = c(1,2,3,4,5,6,7,8,9,10), value = c(34,12,23,25,34,42,48,29,30,27)) What I want to achieve is to select 7 rows (values) so that the mean value of those rows are closest to the value of 35

Hello, dear R'ers, index<-expand.grid(1:7,1:4,1:4,1:4,1:4,1:4,1:4,1:4,1:4,1:4,1:4) In this case, dim(index) is 7,340,032 (!) and 11. I realize it's huge. Then, I am trying to get rid of the undesired combinations of columns. They should not contain identical values in any 2 columns. Also if column 1 has a value of 5, there should be no 2 in any other column, if column 1 has a value

Hi, Can someone tell me how to remove rows of zeros from a matrix? For example if I have the following matrix, 0 0 0 1 2 8 0 0 4 56 I should end up with 0 1 2 8 4 56 -- Thanks, Jim. [[alternative HTML version deleted]]

row <- c("a","b","c","d","e","f","g") #rows from larger data frame row.1 <- c("a","b","c","g") #rows of smaller data frame because d, e, and f don't contain any of the species, but the zeros are important x <- data.frame(sp1=rnorm(4), sp2=rnorm(4), sp3=rnorm(4),

Hi, I'm seeing something that may be a bug in R's standalone math library, which is packaged by Debian as r-mathlib. I reported it to the Debian BTS as http://bugs.debian.org/657573 I'm using Debian squeeze, and the code was tested with r-mathlib 2.11.1-6 (default on stable) and 2.14.1-1 (from testing/unstable). I summarize this report below. The following code with the R math

Hi, I am working on a data set which looks like this: > head(temp) Day Month Year PW ROW 1 1 1 1959 NA 6.40 2 2 1 1959 6.65 6.35 3 3 1 1959 2.50 3.60 4 4 1 1959 0.60 2.25 5 5 1 1959 0.85 0.30 6 6 1 1959 0.00 2.20 I am trying to extract all the rows containing NA. I can extrat all the rows without NAs in column 4 using >

Hi, all, When I schedule machine instructions in a VLIW way and packetize them, a problem is encountered, and I will show it use a simplified case as follows. ############ original instruction sequence ... insn1 ... jump LBB0_xx ... LBB0_xx: ... ############ expected instruction sequence after scheduling and packetizing insn1; jump LBB0_xx ... LBB0_xx: ... ############ generated instruction

Hi friends, Please can anyone help me with an easier solution of doing the below mentioned work. Suppose i have a dataset like this:--- i1 i2 i3 i4 i5 1 7 13 1 2 2 8 14 2 2 3 9 15 3 3 4 10 16 4 4 5 11 17 5 5 6 12 18 6 7 *i1,i2,i3,i4,i5 are my items.I am able to find all possible pairs i.e Say this dataframe is "item_pairs" **i1,i2 **i1,i3 **i1,i4 i1,i5 **i2,i1

It looks like fixed width. I just used the last position of each field to get the size and used the 'readr' package; > input <- "And XVIII 000214.5+450520 0.69 17 9 0.00 -8.7 26.8 6.44 6.78 < 6.65 -44 0.5 MESSIER031 0.6 1.54 + PAndAS-03 000356.4+405319 0.10 17 0.00 -3.6 27.8 4.38 2.8 MESSIER031

Hi Everyone, quick question before the end of the year. I have soem indices to select data from a bigger sample. I want to select n days before each index and n days after the index. Any clever way to do it. A for loop would do but I wanted to know if there is a moreR-friendly way to approach this Example # InitialIndices i2 = (90, 190, 290) # Indices I want to end up with i3 = c(85, 86, 87,