WebMay 23, 2016 · My goal is to select only numeric columns and replace NA values within these columns by 0. I am aware that replacing na-values with zero goes like this: DT [is.na (DT)] <- 0 To select only numeric columns, I found this solution, which works fine: DT [, as.numeric (which (sapply (DT,is.numeric))), with = FALSE] I can achieve what I want by … WebMay 16, 2014 · This means it's safe to convert to a character matrix. > class (mydata [ [1]]) "factor" > mydataM <- as.matrix (mydata) > mode (mydataM) "character". Now you can replace the NA values. X [is.character (X) & X==""] <- "0". In the more general case where you have unwanted factor columns mixed in with other types, you need to do …
Fill in missing values with previous or next value — fill
Webna.fill is a generic function for filling NA or indicated values. It currently has methods for the time series classes "zoo" and "ts" and a default method based on the "zoo" method. Furthermore, na.fill0 works with plain vectors and "Date" objects. It also works with "zoo" objects provided that no fill component is NULL. WebJun 8, 2016 · 1 Answer. Sorted by: 3. Here's a way with reshaping the data first: df %>% gather ("var", "val", -year) %>% complete (year = 2010:2015, var, fill = list (val = 0)) %>% spread (var, val) Source: local data frame [6 x 6] year age.21 age.22 age.23 age.24 age.25 (dbl) (dbl) (dbl) (dbl) (dbl) (dbl) 1 2010 8.940997 7.787210 1.5747435 9.874449 5. ... deals on cabin rentals near gatlinburg
na.fill function - RDocumentation
WebReplace NA values with 0 using is.na () is.na () is used to check whether the given data frame column value is equal to NA or not in R. If it is NA, it will return TRUE, otherwise FALSE. So by specifying it inside- [] (index), … Web19 hours ago · Filling NA values in R after a non-NA value. The data frame I'm working on contains the columns 'country1', 'country2', 'year' and 'pta'. Pta is '1' in the year in which the two countries formed a trade agreement and NA for all other years. The rows are all possible country dyads for all the years between 1990 and 2024. WebNov 26, 2024 · I think a better approach here would be to maintain a data frame which has all the keys and replacements which you intend to use should a full country name be missing: deals on cabins in the smoky mountains