Tracking the change in a sequence in R

gviz
sql server change tracking example
enable change tracking (sql server)
sql server change tracking performance
sql server track changes to a table
azure sql change tracking
postgresql change tracking
change tracking disable

I asked something similar here but function gave some issue, I will try my best to ask it as clear as I can.

I have a sample dataset looks like this below:

 id <-       c(1,1,1, 2,2,2, 3,3, 4,4, 5,5,5,5, 6,6,6, 7, 8,8)
    item.id <-  c(1,1,2, 1,1,1 ,1,1, 1,2, 1,2,2,2, 1,1,1, 1, 1,2)
    sequence <- c(1,2,1, 1,2,3, 1,2, 1,1, 1,1,2,3, 1,2,3, 1, 1,1)
    score <-    c(0,0,0, 0,0,1, 2,0, 1,1, 1,0,1,1, 0,0,0, 1, 0,2)

    data <- data.frame("id"=id, "item.id"=item.id, "sequence"=sequence, "score"=score)
> data
    id item.id sequence score
1   1       1        1     0
2   1       1        2     0
3   1       2        1     0
4   2       1        1     0
5   2       1        2     0
6   2       1        3     1
7   3       1        1     2
8   3       1        2     0
9   4       1        1     1
10  4       2        1     1
11  5       1        1     1
12  5       2        1     0
13  5       2        2     1
14  5       2        3     1
15  6       1        1     0
16  6       1        2     0
17  6       1        3     0
18  7       1        1     1
19  8       1        1     0
20  8       2        1     2

id represents for each student, item.id represents the questions students take, sequence is the attempt number for each item.id, and score is the score for each attempt, taking 0,1, or 2. Students can change their answers.

For item.id within each id, I want to create a variable (status) by looking at the last two sequences (changes):

a) assign "WW" for those who changed from wrong to wrong,
b) assign "WR" for those who changed from wrong to right,
c) assign "RW" for those who changed from right to wrong, and
d) assign "RR" for those who changed from right to right.

score change from 0 to 1 or 0 to 2 considered correct (right) change while, score change from 1 to 0 or 2 to 0 considered incorrect (wrong) change.

If there is only one attempt for item.id as in id=7, then the status should be "one.right". If the score was 0, then it should be "one.wrong". Meanwhile, score is considered right when it is 1 or 2, score is considered wrong when it is 0.

the desired output would be with cases:

 > desired
  id item.id    status
  1   1       1        WW
  2   1       2 one.wrong
  3   2       1        WR
  4   3       1        RW
  5   4       1 one.right
  6   4       2 one.right
  7   5       1 one.right
  8   5       2        RR
  9   6       1        WW
  10  7       1 one.right
  11  8       1 one.wrong
  12  8       2 one.right

Any opinions? Thanks!

library(dplyr)
library(purrr)
library(forcats)

data %>% 
  mutate(status = ifelse(score > 0, "R", "W")) %>% 
  group_by(id, item.id) %>% 
  filter(sequence == n() - 1 | sequence == n()) %>%  
  summarise(status = paste(status, collapse = "")) %>% 
  ungroup() %>% 
  mutate(status = fct_recode(status, "one.wrong" = "W", "one.right" = "R"))

I believe it's pretty much self-describing, but I'll break it down:

1) In the first mutate we create a W/R column from score: 0 gives 'W', everything above gives 'R'.

2) Then we group the data by id, item.id and select last two rows or just keep the row if it's only one in the group (filter).

3) After that we squeeze this status column into one string in each group (summarize). So the possible values are: 'W', 'R', 'WW', 'WR', 'RW', 'RR'.

4) The last thing that is left to do is to recode 'W' to 'one.wrong' and 'R' to 'one.right', using forcats::fct_recode.

Neutrosophic Similarity Score Based Weighted Histogram for Robust , During the tracking procedure, the surroundings of the object always change. frames and r is the overlap threshold which decides the corresponding tracking result this means the corresponding tracker performs very well in this sequence . Afaik, there exists no such R package to do it directly from R. In particular the BioStrings package does not contain methods for multiple sequence alignments only for pairwise alignements. You can read multiple alignments files in different formats using the seqinr package using the function read.alignment .

Similar but not as elegant as @laroslav Domin's answer:

library(tidyverse) 
data %>%
  group_by(id, item.id) %>%
  top_n(2, sequence) %>%
  mutate(sequence = row_number()) %>%
  pivot_wider(names_from = sequence, 
              names_prefix = "c", 
              values_from = score) %>%
  mutate(result = case_when(
    c1 == 0 & c2 == 0 ~ "WW",
    c1 == 0 & c2 >  0 ~ "WR",
    c1 >  1 & c2 == 0 ~ "RW",
    c1 >  1 & c2 >  0 ~ "RR",
    c1 == 0 ~ "one.wrong",
    c1 >  0 ~ "one.right",
    TRUE ~ "OTHER")
  )

Tracking Environmental Change Using Lake Sediments: Data Handling , it might be best treated as a subzone within a larger zone (R-3 plus R-4). The approach then looks at the non-zero sequences of each individual taxon and environmental control (such as climate change) brought about changes in the� sequence alignment is one that requires a degree of skill, and it is that art which this vignette intends to convey. It is simply not enough to \plug" sequences into a multiple sequence aligner and blindly trust the result. An appreciation for the art as well a careful consideration of the results are required.

This is a data.table solution that has some inspiration from @laroslavDomin:

library(data.table)
setDT(data)

data[, {
  if (.N == 1) {
    if (score == 0) {
      'one.wrong'
    } else {
      'one.right'
    }
  } else {
    paste0(ifelse(score > 0, 'R', 'W')[c(1, .N)], collapse = '')
  }
},
by = .(id, item.id)]

Railway Signaling and Communications, Pacific , replies that , “ The type of track circuit bootleg . used by the Rock Island is type , a - c . track relay to change without reversing either the local or track leads ? and whenever the ratio of X to R became switch points are fully reversed . 2 — Sequence of contact operation in a three - position switch box The phase� A basic change detection algorithm takes the image sequence as input and generates a binary image B : Rl → [0,1] called a change mask that identifies changed regions in the last image according to the following generic rule: B(x) = 1 if there is a significant change at pixel x of I M, 0 otherwise. A A M S S Fig. 1.

Computer Vision, the object being tracked (forward and backward motion) as well as a change in the with the three dimensional velocity snake keeping track throughout the sequence. B. Bascle and R Deriche, “Energy-based methods for 2D curve tracking,� In this tutorial we will have a look at how you can write a basic for loop in R. It is aimed at beginners, and if you’re not yet familiar with the basic syntax of the R language we recommend you to first have a look at this introductory R tutorial. Conceptually, a loop is a way to repeat a sequence of instructions under certain conditions.

SequenceTrack-class: SequenceTrack class and methods in Gviz , A track class to represent genomic sequences. user has to call the chromosome<- replacement method in order to change to a different active chromosome. Query should look similar to this. 5 . Click Execute. Click Execute. The Stored Procedure executes. In the results below the CT_DAYS_OLD value is 18. The oldest change tracking data in the syscommittab table for SCCM should be 5 days and Microsoft recommend cleaning up data older than 7 days. 18 days has over stepped the mark somewhat and triggered the warning for the SCCM update prerequisite.

STBins: Visual Tracking and Comparison of Multiple Data , Abstract: While analyzing multiple data sequences, the following questions typically arise: how does a single sequence change over time, how� To track any purchase you make on Bose.com, over the phone or at a Bose store, enter your order number and billing ZIP code on the Track Your Order page. This takes you to the Order Details page where you can click the Track Shipment link to find your order’s shipping status.

Comments
  • @Spring, thank for your reply. After I ran your code, I received this error. Error in rank(x, ties.method = "first", na.last = "keep") : argument "x" is missing, with no default. I have bot plyr and dplyr libraries loaded. Would that cause any issue?