na

问题 I have the following data frame: df <- data.frame(Return1=c(NA, NA, .03, .04, .05), Return2=c(.25, .33, NA, .045, .90), Return3=c(.04, .073, .08, .04, .01)) Return1 Return2 Return3 1 NA 0.250 0.040 2 NA 0.330 0.073 3 0.03 NA 0.080 4 0.04 0.045 0.040 5 0.05 0.900 0.010 I would like to compute the cumulative returns, but there are missing values in the dataframe. I used: cumprod(df+1)-1 Getting as a result Return1 Return2 Return3 1 NA 0.2500 0.0400000 2 NA 0.6625 0.1159200 3 NA NA 0.2051936 4

问题 I have the following data frame: df <- data.frame(Return1=c(NA, NA, .03, .04, .05), Return2=c(.25, .33, NA, .045, .90), Return3=c(.04, .073, .08, .04, .01)) Return1 Return2 Return3 1 NA 0.250 0.040 2 NA 0.330 0.073 3 0.03 NA 0.080 4 0.04 0.045 0.040 5 0.05 0.900 0.010 I would like to compute the cumulative returns, but there are missing values in the dataframe. I used: cumprod(df+1)-1 Getting as a result Return1 Return2 Return3 1 NA 0.2500 0.0400000 2 NA 0.6625 0.1159200 3 NA NA 0.2051936 4

问题 I have this code that works fine: CompleteCoxObs<-temp[is.na(temp[,8])== FALSE | is.na(temp[,9])== FALSE | is.na(temp[,10])== FALSE,]; What is a better and more efficient way to achieve the same result? 回答1: You can try this to check for all the columns: CompleteCox.df <- temp.df[rowSums(is.na(temp.df)) != ncol(temp.df),] In your case: CompleteCox.df <- temp.df[rowSums(is.na(temp.df[, c(8,9,10)])) != 3,] 回答2: You can try one of the followings: temp[!is.na(rowSums(temp[,8:10])),] or temp[

问题 I already made a similar question but now I want just to restrict the new values of NA. I have some data like this: Date 1 Date 2 Date 3 Date 4 Date 5 Date 6 A NA 0.1 0.2 NA 0.3 0.2 B 0.1 NA NA 0.3 0.2 0.1 C NA NA NA NA 0.3 NA D 0.1 0.2 0.3 NA 0.1 NA E NA NA 0.1 0.2 0.1 0.3 I would like to change the NA values of my data based on the first date a value is registered. So for example for A, the first registration is Date 2. Then I want that before that registration the values of NA in A are 0,

问题 I already made a similar question but now I want just to restrict the new values of NA. I have some data like this: Date 1 Date 2 Date 3 Date 4 Date 5 Date 6 A NA 0.1 0.2 NA 0.3 0.2 B 0.1 NA NA 0.3 0.2 0.1 C NA NA NA NA 0.3 NA D 0.1 0.2 0.3 NA 0.1 NA E NA NA 0.1 0.2 0.1 0.3 I would like to change the NA values of my data based on the first date a value is registered. So for example for A, the first registration is Date 2. Then I want that before that registration the values of NA in A are 0,

问题 I've been working on reproducing a CNN-LSTM model for PV power forecasting from literature for the past four weeks for my Master Thesis in Energy Science (http://www.mdpi.com/2076-3417/8/8/1286). However I've been stuck on a seemingly simple issue: Any configuration of LSTM model that I've tried yields one of two things: Rediculous output, makes no sense whatsoever (flat line, complete stochasticity, negative values, you name it) Exactly the same (very believable) PV power forecast. I've done

问题 I have a data frame in R that has 2 numeric fields, 1 of these fields can contain NA values. I want to plot the first field and base the col off if the second field is NA or not. CurrentBackLog = as.data.frame(list(DaysSinceCreted=c(34,50,22,6),DaysSinceReady=c(NA,10,22,NA))) This only shows the items where DaysSinceReady is NOT NA... plot(CurrentBackLog$DaysSinceCreated, main = 'Days Since Created by Ticket', ylab = 'Days Since Created', pch = 15, col = ifelse(CurrentBackLog$DaysSinceReady>1

问题 I am working on scraping some data into a data frame, and am getting some empty fields, where I would instead prefer to have NA. I have tried na.strings, but am either placing it in the wrong place or it just isn't working, and I tried to gsub anything that was whitespace from beginning of line to end, but that didn't work. htmlpage <- read_html("http://www.gourmetsleuth.com/features/wine-cheese-pairing-guide") sugPairings <- html_nodes(htmlpage, ".meta-wrapper") suggestions <- html_text

问题 I am working on scraping some data into a data frame, and am getting some empty fields, where I would instead prefer to have NA. I have tried na.strings, but am either placing it in the wrong place or it just isn't working, and I tried to gsub anything that was whitespace from beginning of line to end, but that didn't work. htmlpage <- read_html("http://www.gourmetsleuth.com/features/wine-cheese-pairing-guide") sugPairings <- html_nodes(htmlpage, ".meta-wrapper") suggestions <- html_text

问题 Im writing my own function to calculate the mean of a column in a data set and then applying it using apply() but it only returns the first columns mean. Below is my code mymean <- function(cleaned_us){ column_total = sum(cleaned_us) column_length = length(cleaned_us) return (column_total/column_length) } Average_2 <- apply(numeric_clean_usnews,2,mymean,na.rm=T) 回答1: We need to use the na.rm=TRUE in the sum and using it in apply is not going to work as mymean doesn't have that argument mymean