How can I get only once signature picture from UserSetup in DataSet?
DataItem Integer in the end doesn't work when I print two or more documents with different signatures.
The usual tactics is to clear BLOB with a picture after the first row has been generated, e.g. in AfterGetRecord of document lines.
An example with more details can be found here:
http://www.softwareanswers.co.uk/software_answers/2015/01/outofmemoryexception-when-running-dynamics-nav-reports.html
Related
I've set up a Google Sheets workbook that synthesizes data from a few different sources via manual input, IMPORTHTML and IMPORTRANGE. Once the data is populated, I'm using INDEX MATCH to filter and compare the information and to RANK each data set.
Since I have multiple data inputs, I'm running into a persistent issue of names not being written exactly the same between sources, even though they're the same person. First names are the primary culprit (i.e. Mary Lou vs Marylou vs Mary-Lou vs Mary Louise) but some last names with special symbols (umlauts, accents, tildes) are also causing errors. When Sheets can't recognize a match, the INDEX MATCH and RANK functions both break down.
I'm wondering how to better unify the data automatically so my Sheet understands that each occurrence is actually the same person (or "value").
Since you can't edit the results of an IMPORTHTML directly, I've set up "helper columns" and used functions like TRIM and SPLIT to try and fix instances as I go, but it seems like there must be a simpler path.
It feels like IFS could work but I can't figure how to integrate it. Also thinking this may require a script, which I'm just beginning to study.
Here's a simplified example of what I'm trying to achieve and the corresponding errors: Sample Spreadsheet
The first tab is attempting to pull and RANK data from tabs 2 and 3. Sample formulas from the Summary tab, row 3 (Amelia Rose):
Cell B3: =INDEX('Q1 Sales'!B:B, MATCH(A3,'Q1 Sales'!A:A,0))
Cell C3: =RANK(B3,$B$2:B,1)
Cell D3: =INDEX('Q2 Sales'!B:B, MATCH(A3,'Q2 Sales'!A:A,0))
Cell E3: =RANK(D3,$D$2:D,1)
I'd be grateful for any insight on how to best index 'Q2Sales'!B3 as the correct value for 'Summary'!D3. Thanks in advance - the thoughtful answers on Stack Overflow have gotten me this far!
to counter every possible scenario do it like this:
=ARRAYFORMULA(IFERROR(VLOOKUP(LOWER(REGEXREPLACE(A2:A, "-|\s", )),
{REGEXEXTRACT(LOWER(REGEXREPLACE('Q2 Sales'!A2:A, "-|\s", )),
TEXTJOIN("|", 1, LOWER(REGEXREPLACE(A2:A, "-|\s", )))), 'Q2 Sales'!B2:B}, 2, 0)))
In Stata, is there a way to redirect the data that a command does into a table instead of a graph?
Example: if someone created a normal probability distribution of data with the pnorm var_name command, is there a way to redirect the data so that instead of appearing in a graph, it appears in a table?
To add to #Noobie's answer:
Different commands work in different ways. There's no better short summary.
What you can look out for includes
generate() options that produce new variables. (There is absolute rule that the options have this name, but that or a similar name is the most common single variety.)
Options that allow saving results to new datasets.
Saved results, especially those visible after return list or ereturn list. These can be quite elaborate, e.g. saving of matrices of counts after tabulate.
More broadly, Stata commands aren't functions! One characteristic of a function, as so named in many languages or programs, is that there is a result, with special cases where the result is void or null. There clearly are statistical programs which in broad terms hinge on calling functions which have results, and what you see displayed is often a side-effect of that. Stata commands don't work like that in the sense that the results of a program can be various. In the case of commands designed just to show something, the "result" may be a display. It's worth noting that Mata, which underlies and underpins Stata, is more recognisably a C-like language, with (e.g.) many matrix extensions, which is based on functions (and much else).
Yes and no. It really depends on the command you are using. You should look at the help files first.
For instance, pnorm does not allow that. You can create the data yourself using the formula for pnorm described in the help file, where the cumulative distribution at some point is plotted against the so-called plotting position.
Other Stata commands allow you to generate the points directly. This is the case for kdensity for instance.
I'm trying to save output from several hundred eststo's storing results of bivariate probability models into one excel file using esttab. It works for xtlogit(both ,re and ,pa), xtprobit (both ,re and ,pa) and for the linear probability model xtreg (both standard and ,fe. However, when I use xtreg y x i.year, fe I get the error message too many base levels specified. Google doesn't help me much.
I've been trying for an hour to create a reproducible example but the stata datasets all work fine. It does not seem to be due to the number of years or the fact that different specifications have data for different years. Still, the normal xtreg, fe' works, the problem only appears with time dummies. The weirdest thing is that it works for all subsets of my variables but not for the whole list (again just the time fixed effects specifications).
Does anyone have an idea how to proceed? Using drop(*.year) works whenever the problem does not arise (so in specifications where it works, I get outputs without the year dummies) but does not prevent the too many base levels specified error; ,nobaselevels has no apparent effect as well. Is there a way to remove the time fixed effects from eststo before I pass those on to esttab? Any workaround would be appreciated as well.
The problem you might be facing is that of Stata creating different base levels for the factor variable year, in different regressions.
Try fixing the factor variable base level beforehand with fvset:
fvset base <some_number> year
Check help fvset and the manual entry for details. Also, read the source given below, which contains more information.
Source: two posts from Statalist; one from Tim Wade and another by Jeff Pitblado.
I want to answer this question:
Does the average time on page A (or more accurately page group A) affect the conversion rate of goal B?
So far in the GUI I have:
A) Created an advanced segment of Time on Page >= 120 ("per hit" option):
http://grab.by/tKOA
B) Modified the segment to also add a filter for Page = regex matching my group:
http://grab.by/tKOU
...But I don't know if this gives me the results I'm after; that is, if they are accurate
I have some other ideas, including assigning the page group as a funnel step and then segmenting by the Time on Page; still waiting on data to come in for that one
Wanting to know if there was a better solution or if I'm on the right track
Drewdavid,
Your approach is quite smart and correct, I would say, however keep in mind that in this context, you are mixing different scopes:
Time on Page is page-level metric
Page seen is visit-level dimension
What you would get in your report is the average time on page calculated from all the pages there were seen during visits which met the regex condition set in the filter (that's what segment does, it included all the pages, not just those that you want to filter). I know this can be confusing, but see this article that gives more examples and goes into greater detail.
To achieve what you are after, remove the segment filter and simply use the advanced filtering above the report table (and choose exactly the same regex you mentioned in your question).
Hope this helps!
I am trying to use RCurl package to get data from the genecard databases
http://www-bimas.cit.nih.gov/cards//
I read a wonderful solution in a previous posted questions:
How can I use R (Rcurl/XML packages ?!) to scrape this webpage?
However, my problem is different in a form that I need further supports from experist. Instead of exctracting all the links from the webpages. I have a list of ~ 1000 genes in my mind. They are in the form of gene symbols (some of the gene symbols can be found in the webpage, some of them are new to the database). Here is part of my lists of genes.
TP53
SOD1
EGFR
C2d
AKT2
NFKB1
C2d is not in the database, so, when I do the search manually I will see.
"Sorry, there is no GeneCard for C2d".
When I use to the solution posted in the previous questions for my analysis.
How can I use R (Rcurl/XML packages ?!) to scrape this webpage?
(1) I firstly readin the list
(2) I then use the get_structs function in the previous solution to subsitute each gene sybmols in the list to the following website
http://www-bimas.cit.nih.gov/cgi-bin/cards/carddisp.pl?gene=genesybol.
(3) Scrap the information that I needed for each genes in the list, using the get_data_url function in the previous message.
It works for the TP53, SOD1, EGFR, but when the search comes to C2d. The process stopped.
As I got ~ 1000 genes, I am sure some of them are missing from the webpage.
How can I get a modified gene list to tell me out of ~1000 genes, which one of them are missing automatically? So, that I can use the same approach as listed in the previous question to get all the data that I needed based on the new gene lists that are EXISTING in webpage?
Or are there any methods to ask the R to skip those missing items and do the scrapping continuously till the end of the list but mark those missing items in the final results.
In order to faciliate the discussion process. I have make a sudo input files using the scripts using in the previous questions for the same webpage that they used.
u <- c ("Aero_pern", "Ppate", "didnotexist", "Sbico")
library(RCurl)
base_url<-"http://gtrnadb.ucsc.edu/" base_html<-getURLContent(base_url)[[1]]
links<-strsplit(base_html,"a href=")[[1]]
get_structs<-function(u) {
struct_url<-paste(base_url,u,"/",u,"-structs.html",sep="")
raw_data<-getURLContent(struct_url)
s_split1<-strsplit(raw_data,"<PRE>")[[1]]
all_data<-s_split1[seq(3,length(s_split1))]
data_list<-lapply(all_data,parse_genomes)
for (d in 1:length(data_list)) {data_list[[d]]<-append(data_list[[d]],u)}
return(data_list)
}
I guess the problem can be solved by modifing the get_structs scripps above or ifelse function may help, but I cannot figure out how to modify it further. Pls comments.
You can enclose your function call inside a try() so that the process won't break if you get errors. Usually this will let you loop over problematic cases and it will return an error message instead of breaking your process. e.g.
dat <- list()
for (i in 1:length(u)){
dat[[i]] <- try(get_structs(u[i]))
}