sqldf

问题 I am looking for something similar to this Select only the first rows for each unique value of a column in R but I need to keep ALL rows containing the first values of year per ID. In ither words, I need to subset the dataset on the first year listed, by individual ID. IDs can have their first year in 1 2 or 3, and all of the rows in the first year should be retained. For example: ID <- c("54V", "54V", "54V", "54V", "56V", "56V", "56V", "59V", "59V", "59V") yr <- c(1, 1, 1, 2, 2, 2, 3, 1, 2,

问题 I need to do a loop over sqldf statements and for that I need to call the loop variable inside the sqldf code: My table "data", might be: data <- read.table(text =" loaddate DaysRange DaysRangeNext 1 2014-03-16 30 30 2 2014-03-16 0 0 3 2014-03-16 0 0 4 2014-03-16 60 NA 5 2014-04-16 30 30 6 2014-04-16 0 30 " ,header = TRUE) then I format loaddate as a date: data$loaddate<-as.Date(as.character(data$loaddate), format='%Y-%m-%d') Let's say I have a vector "loaddates": loaddates<- unique(sort(data

问题 I have two data-frame which looks like: Data1: col1 col2 ['A_2'] ['C_8'] ['A_2','B_3'] ['C_7'] ['B_5'] ['A_3] Data2: A B C 1 2 8 2 3 8 3 5 7 3 5 7 1 6 7 2 3 8 3 7 9 4 8 9 2 3 7 10 5 11 Here Data1 has two columns which has values as colnameofData2_valueofData2 from Data2 . I have to write a sql query or using pandas to create a output table3 like this: col1 col2 count1 error ['A_2'] ['C_8'] 2 1 ['A_2','B_3'] ['C_7'] 1 2 ['B_5'] ['A_3] 2 1 For count1 column: From Data1 we pick row 1 and say

问题 I've been using sqldf in my R-scripts until now when I got the following error: library(sqldf) data(mtcars) out <- sqldf("SELECT * FROM mtcars") > Error in rsqlite_send_query(conn@ptr, statement) : no such table: mtcars This hasn't been a problem before now, anyone know what's the issue? 回答1: I had this problem with 0.4-10 from CRAN (Windows 10). > out <- sqldf("SELECT * FROM mtcars") Loading required package: tcltk Error in rsqlite_send_query(conn@ptr, statement) : no such table: mtcars Then

问题 I've been using sqldf in my R-scripts until now when I got the following error: library(sqldf) data(mtcars) out <- sqldf("SELECT * FROM mtcars") > Error in rsqlite_send_query(conn@ptr, statement) : no such table: mtcars This hasn't been a problem before now, anyone know what's the issue? 回答1: I had this problem with 0.4-10 from CRAN (Windows 10). > out <- sqldf("SELECT * FROM mtcars") Loading required package: tcltk Error in rsqlite_send_query(conn@ptr, statement) : no such table: mtcars Then

问题 I have a problem with SQLdf. Although I am trying to update a table, it always gives NULL as an output. I red things about this problem but I cannot figure out how to solve it. My code is: fn$sqldf("update cons set V1='%$numbernew%' where V1=$'contact'") But after I check it to see if something has changed, all are the same as in the beginning. Any ideas would help. 回答1: As Joran mentioned in a comment this question is an sqldf FAQ. In fact its sqldf FAQ #8. As discussed there the problem is

问题 arm<-as.data.frame(matrix(c(1,1,1,2,2,6,7,4,9,10),ncol=2)) colnames(arm)<-c("a","b") Hi guys, this is a dataset I created in R. Now I want to rank the column b and group by column a. The following piece of code is throwing this error, no matter what changes I make to the syntax(like adding [], "", etc...) *****Error in sqliteSendQuery(con, statement, bind.data) : error in statement: near "(": syntax error***** I was using "sqldf" package. arm2<-sqldf("select a, b, rank() over (partition by a

问题 I have some SQL queries that basically parse a dataset by time (POSIXct date format): library(sqldf) data_2013 <- sqldf("SELECT * FROM data WHERE strftime('%Y-%m-%d', time, 'unixepoch', 'localtime') >= '2013-01-01' AND strftime('%Y-%m-%d', time, 'unixepoch', 'localtime') <= '2013-12-31'") data_2012 <- sqldf("SELECT * FROM data WHERE strftime('%Y-%m-%d', time, 'unixepoch', 'localtime') >= '2012-01-01' AND strftime('%Y-%m-%d', time, 'unixepoch', 'localtime') <= '2012-12-31'") data_2011 <- sqldf

问题 I'm trying to join two datasets where a variable (or position along a genome) in one dataset fits within a range in the second (gene start/stop position). However, positions are not unique, but nested within an additional column (chromosome). The same goes for the gene start/stop positions. My goal is to link each position with the corresponding annotation and effect. For example: library(sqldf) set.seed(100) a <- data.frame( annotation = sample(c("this", "that", "other"), 3, replace=TRUE),

问题 I am working on families trees : I have adapted Bob Horton's example based on sqldf https://www.r-bloggers.com/exploring-recursive-ctes-with-sqldf/ My data : person father Guillou Arthur NA Cleach Marc NA Guillou Eric Guillou Arthur Guillou Jacques Guillou Arthur Cleach Franck Cleach Marc Cleach Leo Cleach Marc Cleach Herbet Cleach Leo Cleach Adele Cleach Herbet Guillou Jean Guillou Eric Guillou Alan Guillou Eric My results, descendants ordered by levels of "Guillou Arthur" (top person