na

问题 The data file that I get from an experiment looks like this VP Selbst ES eigForm eigES andForm andES MM MMRT Wunschform Geschlecht Muttersprache Alter 99 1 unhöflich NA NA NA NA NA NA 99 5 gesellig NA NA NA NA NA NA 99 6 ehrlich NA NA NA NA NA NA 99 NA 5 gründlich NA NA NA NA NA 99 NA 6 treu NA NA NA NA NA 99 NA 5 romantisch NA NA NA NA NA 99 NA NA 6 stark NA NA NA NA 99 NA NA 3 klein NA NA NA NA 99 NA NA 5 rational NA NA NA NA 99 NA ordentlich NA NA ["y"] [0.4] NA NA NA NA 99 NA sentimental

问题 The data file that I get from an experiment looks like this VP Selbst ES eigForm eigES andForm andES MM MMRT Wunschform Geschlecht Muttersprache Alter 99 1 unhöflich NA NA NA NA NA NA 99 5 gesellig NA NA NA NA NA NA 99 6 ehrlich NA NA NA NA NA NA 99 NA 5 gründlich NA NA NA NA NA 99 NA 6 treu NA NA NA NA NA 99 NA 5 romantisch NA NA NA NA NA 99 NA NA 6 stark NA NA NA NA 99 NA NA 3 klein NA NA NA NA 99 NA NA 5 rational NA NA NA NA 99 NA ordentlich NA NA ["y"] [0.4] NA NA NA NA 99 NA sentimental

问题 The data file that I get from an experiment looks like this VP Selbst ES eigForm eigES andForm andES MM MMRT Wunschform Geschlecht Muttersprache Alter 99 1 unhöflich NA NA NA NA NA NA 99 5 gesellig NA NA NA NA NA NA 99 6 ehrlich NA NA NA NA NA NA 99 NA 5 gründlich NA NA NA NA NA 99 NA 6 treu NA NA NA NA NA 99 NA 5 romantisch NA NA NA NA NA 99 NA NA 6 stark NA NA NA NA 99 NA NA 3 klein NA NA NA NA 99 NA NA 5 rational NA NA NA NA 99 NA ordentlich NA NA ["y"] [0.4] NA NA NA NA 99 NA sentimental

问题 Anyone know if the incomparables argument of unique() or duplicated() has ever been implemented beyond incomparables=FALSE ? Maybe I don't understand how it is supposed to work... Anyway I'm looking for a slick solution to keep only unique columns (or rows) that are identical to another column besides extra NA s? I can brute force it using cor() for example, but for tens of thousands of columns, this is intractable. Heres an example, sorry if its a little messy, but I think it illustrates the

问题 Anyone know if the incomparables argument of unique() or duplicated() has ever been implemented beyond incomparables=FALSE ? Maybe I don't understand how it is supposed to work... Anyway I'm looking for a slick solution to keep only unique columns (or rows) that are identical to another column besides extra NA s? I can brute force it using cor() for example, but for tens of thousands of columns, this is intractable. Heres an example, sorry if its a little messy, but I think it illustrates the

问题 I'm looking for a way to "fill" NA s to the right (as opposed to down/up) with dplyr. In other words, I would like to convert d into d2 without having to explicitly reference any columns in a mutate call. My real dataframe has several 10s of fields with staggered blocks of NAs spanning variable numbers of columns. I'm curious whether there's a short way to globally inherit the first non-NA value to the left, regardless of what field it occurs in. d<-data.frame(c1=c("a",1:4), c2=c(NA,2,NA,4,5)

问题 This question already has an answer here : How can I find the index of all NA in a dataframe column? (1 answer) Closed 6 years ago . I have the following vector: x <- c(3, 7, NA, 4, 8) And I just want to know the index of the NA in the vector. If, for instance, I wanted to know the index of 7 , the following code would work: > which(x == 7) [1] 2 I find it odd that running the same code when trying to find the index of the NA does not give me the desired result. > which(x == NA) integer(0) I

问题 Following the previous two questions: removing the first 3 rows of a group with conditional statement in r Assigning NAs to rows with conditional statement in r I'm having some troubles with my code. If Instead of deleting rows, I want to assign NAs to every event that has in their first row a Value higher than 2. So, if an event is having in its first row a Value higher than 2, I want to assign NA to that row, and to the coming two rows of that event. If the event has no more rows, just

问题 Following the previous two questions: removing the first 3 rows of a group with conditional statement in r Assigning NAs to rows with conditional statement in r I'm having some troubles with my code. If Instead of deleting rows, I want to assign NAs to every event that has in their first row a Value higher than 2. So, if an event is having in its first row a Value higher than 2, I want to assign NA to that row, and to the coming two rows of that event. If the event has no more rows, just

问题 I'm having with trouble with ggplot trying to plot 2 incomplete time series on the same graph where the y data does not have the same values on the x-axis (year) - NAs are thus present for certain years : test<-structure(list(YEAR = c(1937, 1938, 1942, 1943, 1947, 1948, 1952, 1953, 1957, 1958, 1962, 1963, 1967, 1968, 1972, 1973, 1977, 1978, 1982, 1983, 1986.5, 1987, 1993.5), A1 = c(NA, 24, NA, 32, 32, NA, 34, NA, NA, 18, 12, NA, 10, NA, 11, NA, 15, NA, 24, NA, NA, 25, 26), A2 = c(40, NA, 38,