similar to: How to show classes with 0 count in table()?

I am having hard time tabulating data in a dataframe, and getting a single "table" for an answer. I am trying to tabulate all "counts" for given "status" on a given date. I have a data frame such as: delta_ts status count 1 2008-02-27 CLOSED 3 2 2008-02-27 NEW 56 3 2008-02-27 RESOLVED 5 4 2008-02-21 ASSIGNED 1 5

Hi, I am an R novice and I am trying to do something that it seems should be fairly simple, but I can't quite figure it out and I must not be using the right words when I search for answers. I have a dataset with a number of individuals and observations for each day (7 possible codes plus missing data) So it looks something like this Individual A, B, C, D Day1 1,1,1,1 Day 2 1,3,4,2 Day3

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I have a small annoying problem. When I use the 'table' function on a simple vector it counts the number of occurences. So depending on the values of my input vector the function returns a class of type table with different lengths. Is there an easy way to tell the table function, the values to expect? That is ############# > set.seed(0) > s<-sample(0:5,5,rep=T) > s [1] 5 1

To get the number of TRUE in logical vector 'x', tabulate(x, 1) can be used. Actually, it gives count of 1, but TRUE as integer is 1. Since R 3.4.0, it gives a correct answer, too, when the count is 2^31 or more.

Hi, I'd like to ask you a question again. It is basically about data frames, NAs and tabulate function. I have this data frame. I already used this in one of the previous questions of mine. It intentionally looks this simple, my real 'df' dataframe is much bigger actually and again, I am not willing to annoy anyone with huge databases... So, my database: id

Hello, Let's assume I have a vector of integers : > myvector <- c(1, 2, 3, 2, 1, 3, 5) My purpose is to obtain the cumulative distribution of these numerical data, i.e. something like : value nb_occur. <=1 2 <=2 4 <=3 6 <=4 6 <=5 7 For this, I create a table with ; > mytable <- table(myvector) 1 2 3 5 2 2 2 1 However, table() returns an array

Hi, all ecdf function (Empirical Cumulative Distribution Function) in "stats" package counts from smaller values to larger values. However, I want to draw it by counting from larger value to smaller values and I couldn't find options for this purpose. How can I draw ecdf or ecdf like graph by counting from larger values to smaller values. Thank you in advance. Hyunchul Kim

Hi, I've been using R for a few weeks now, but consider myself still a newbie, especially in what concerns the basics of data handling in R. My situation is this: I read in data from a database using RODBC, and then use "table" to produce a table of "counts per years", table which I give to "plot". All is well, as long as there are no gaps in the years

Hi How do I get the output from table() in matrix form? If I have R> table(c(1,1,1,1,2,20)) 1 2 20 4 1 1 I want [,1] [,2] [,3] [1,] 1 2 20 [2,] 4 1 1 The problem is that names(table) is a vector of characters and I need the numeric values. I am using R> rbind(as.integer(names(x)),x) I thought tabulate() might be better as it takes an

dear helplist, my student has fifty trees, numbered one to fifty, and a vector recording which tree a certain possum slept in on 12 nights. R> c [1] 3 14 17 22 26 26 17 40 43 25 46 46 R> Thus it slept in tree #3 on Monday, then tree #14 on Tues, and so on. I wish to test the null hypothesis that the animal chooses trees randomly; try R> table(c) c 3 14 17 22 25 26 40 43 46 1 1

I'm trying to find a more elegant way of doing this. What I'm trying to accomplish is to count the frequency of letters (major / minor alleles) in a string grouped by the factor levels in another column of my data frame. Ex. > DF<-data.frame(c("CC", "CC", NA, "CG", "GG", "GC"), c("L", "U", "L",

Dear R-Developers, please find attached a set of drafted functions for flat file import and export, partially extending existing functions, partially completely written as new code. I thought you might be interested in those functions and the accompanying utilities for padding and trimming. Main features are - supports several formats, i.e. fixed width and CSV (with one exception) - supports

Hi all, I want to make a contingency table in R. I want to tabulate two variables, one as the independent and second as the dependent variable. The IV has two categories, namely, birth complications, and no birth complications. The frequency of birth complication category is fifty, and the frequency of no birth complication category is 34. The categories and frequencies of DV follows.

Hello, Suppose I simulate 20 observations from the Poisson distribution with lambda = 4. I can summarize these values using table() and then feed that to barplot() for a graph. Problem: if there are empty categories (e.g. 0) or empty categories within the range of the data (e.g. observations for 6, 7, 9), barplot() does not include the empty cells in the x-axis of the plot. Is there any way to

Dear R group, I have a data frame which contains data on preferences on 7 items (ranks 1 through 7) listed by each participant. I would like to tabulate this in a 7x7 table where the rows would be the items and the columns would be the number of times that item received a particular rank. I tried doing this by creating a matrix by "rbind"ing each vector obtained using

Dear R folks, I am sorry to ask this simple question, but my search for the right way/command was unsuccessful. I have a vector > x <- c(2, 2, 3, 3, 4, 6) Now the values of x should be considered the index of another vector with possible greater length, say 8, and the value should be how often the indexes appeared in the original vector x. > length(result) [1] 8 > result [1] 0

Hi I am trying to build  the documentation and view it as html. When I ran the `make docs-llvm-html` target but ran into this below issue. Has anyone faced this issue? ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- % make

Dear R users, I have a dataframe like this: x1<-c(1,2,3,4,NA ,NA ,NA, 3, 1, 1, 1, 1, 2, 2, 3, 4, 4) x2<-c(2,3,4,3,4,3,4,2,2,3,4,NA,NA,NA,NA,4,3) x3<-c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,1,2) m<-data.frame(x1,x2,x3) I would like to create a frequency table like this: x1 x2 x3 NA 1 2 3 4 where the values in each cell would be the count of the value for that variable. How can I do

Dear all, I try to figure out how to use R to count the number of pixels of the same color in some gray-level picture. I managed to read it in either tiff or jpeg format, but the returned pixmap object keeps its information out of (my) reach. Is there an easy way to tabulate the different color/graylevel pixels and their numbers? Or should I use a completely different (free) software?