On 6/9/21 5:06 AM, Biplab Nayak wrote:
Hi Greg,
Please find the objective of the code(bold) and code mentioned below. I was
trying to do to achieve the below objective but somehow it's not working.
The phrase "somehow not working" is not a useful description of an outcome.
1.Order assessment based on the latest due date so select input
automatically shows the order of assessment name.
2.Filter based on the one name or multiple names in the select input
library(tidyverse)
#library(stringr) # attached with tidyverse
#library(readr)
library(shiny)
library(dplyr)
I'm pretty sure the tidyverse super-package includes most of the others
with the exception of pkg:shiny (which does not appear to be needed anyway.)
Here's what my version of tidyverse loads:
Imports: broom (>= 0.5.2), cli (>= 1.1.0), crayon (>= 1.3.4), dbplyr (>=
1.4.2), dplyr (>= 0.8.3), forcats (>= 0.4.0),
ggplot2 (>= 3.2.1), haven (>= 2.2.0), hms (>= 0.5.2), httr
(>= 1.4.1), jsonlite (>= 1.6), lubridate (>=
1.7.4), magrittr (>= 1.5), modelr (>= 0.1.5), pillar (>=
1.4.2), purrr (>= 0.3.3), readr (>= 1.3.1), readxl
(>= 1.3.1), reprex (>= 0.3.0), rlang (>= 0.4.1),
rstudioapi (>= 0.10), rvest (>= 0.3.5), stringr (>=
1.4.0), tibble (>= 2.1.3), tidyr (>= 1.0.0), xml2 (>= 1.2.2)
ttclasses <- read_csv("~/tmp/ttclasses.csv")
We do not have your data.
#Filter data
ttclasses <-ttclasses %>%
filter(str_detect(assessment, "Assignment"))
ttclasses <-ttclasses %>% filter(str_detect(name, "Name"))
Without a result that summarizes the changes in the data composition at
each step, we cannot make any guesses as to your problem
##Remove NA values.
ttclasses <-ttclasses %>% drop_na("score")
*## Sort assessment based on max due_date*
ttclasses <- ttclasses [order( - due_date, assessment ),]
#Convert to factor
ttclasses$assessment <- factor(ttclasses$assessment)
# please see the formats in help("strptime")
ttclasses$due_date <- as.Date(ttclasses$due_date, format = "%m/%d/%y")
Yes, do see ?strptime. That format assumes dates are in MM/DD/YY format,
i.e slashes as separators and 2 digit years. Getting the date format
wrong is a common way to create NA values. It is better not to overlay
such efforts on top of the original column name. That way you can still
make changes without redoing the entire data steps.
ttclasses$name <- factor(ttclasses$name)
Thanks & Regards
Biplab Nayak
On Wed, Jun 9, 2021 at 12:15 AM Greg Minshall <minsh...@umich.edu> wrote:
Biplab,
i'm not sure how to help you here, but this list pretty much runs on
plain ASCII (or, these days, utf-8) e-mail. for the most part, without
attachments. so, simply-formatted text, including code, with some
mechanism in the code to initialize any data structures (data frames,
matrices, etc.) needed for the example.
some of this is described in the posting guide
----
https://www.r-project.org/posting-guide.html
----
formatting your e-mail in this way will likely increase your odds of a
helpful reply.
cheers, Greg
[[alternative HTML version deleted]]
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
