WebDec 27, 2024 · It could be because you have NAs in your data. To ignore them, specify na.rm = TRUE in your mean () Here is an example of data with NA: hw <- c (5, NA, 0, 2) This does not work: mean (hw) # [1] NA But if you specify to remove NAs, it works: mean (hw, na.rm = TRUE) # [1] 2.333333 WebThe mean function has an additional argument ( na.rm) to specify whether to remove NA values or not. If you need to specify arguments of the function you are applying, you just can pass them separated by commas as follows: apply(df, 1, mean, na.rm = TRUE) Applying a custom function
is.na in r: How to Use is.na() function in …
WebApr 14, 2024 · Laura Lee's presence dominates Lottie's vision. In her mall vision, Lottie appears to have taken on Laura Lee as her inner voice of reason, which we know has repercussions in the future, when ... WebAug 9, 2024 · Valores perdidos (NA) en R: identificación y tratamiento (I) Missing Values (NA) in R. En la siguiente entrada se muestran algunas operaciones básicas para la identificación y tratamiento de valores perdidos en R. Dado el siguiente vector de valores, se verifica que los valores NA son utilizados en R para señalar valore perdidos: small hole in wall
How to Use mean Function in R (With Examples) - Statology
WebJul 18, 2016 · Here. the NA is holding the place of a logical value 1, so it could be representing only TRUE or FALSE. But whatever it represents, the answer will be the same: > TRUE TRUE [1] TRUE > FALSE TRUE [1] TRUE By the same token, any (x) can return TRUE even if the logical vector includes NA s, as long as x includes at least one TRUE value. WebF i r e c a us e s s hut dow n of F r e e por t l i que f i e d na t ur a l ga s e xpor t t e r m i na l 0 2 4 6 8 10 M o n t h l y U . S. l i q u e f i ed n a t u ra l g a s ( L NG ) exp o rt s ( J an 2 01 9 – M a y 202 2) billion cubic feet per day a l l o t h e r U. S . L NG e x p o rt te rm i … WebAug 3, 2024 · Using sum () in R to add values of a specific column Summing the values present in the particular column is very easy in R. The below code will illustrate the same. This dataset contains the ‘NA’ value. So we are handling it by using na.rm=TRUE functon as shown in the code. sonic boom ep 20