I did a binary logistic regression and in the output (in the saction "Variables in the equation") I find the B coefficient and its standard error (ex S.E. = .859). However, I need the range of the beta standard erorr, somthing like: beta ± SE 0.05 ± 0.09.
How can I get Spss to show this value in the output or compute this value on my own?
You can get the data from the output table into a new dataset - using OMS command, then you can use it to make calculations:
DATASET DECLARE mydata.
OMS /SELECT TABLES
/IF COMMANDS=['Logistic Regression'] SUBTYPES=['Variables in the Equation']
/DESTINATION FORMAT=SAV OUTFILE='mydata' .
*run your analysis here.
omsend.
dataset activate mydata.
Related
My problem is the value of CPC displayed after a multiplication "not correct"
Example : my CPC = 0.02 $
and i want to multiply the CPC by 10.5
i tried to do CPC * 10.5 but the result is 0.17 instead of 0.21
For information : i get data from google ads
thank you a lot in advance
The Decimal Precision in Scorecards is set to 2 places by default, thus one possibility is that the value of 0.02 in the CPC moy field is rounded from 0.0165.
Google Data Studio Report and a GIF to elaborate:
I'm using camera trapping data which contains two columns:
"datetime" of when the photo was taken
"species" species that appears in the photo
I want to calculate time difference between all possible pairs of species in R.
I have used difftime and diff functions in R but the result obtained isn't what I aim, as R is calculating time between "datetime2-datetime1", "datetime3-datetime2", "datetime4-datetime3", etc.
An example of my data is:
datetime (POSIXct format): "2018-10-06 08:39:00", "2018-10-07 04:09:00", "2018-10-14 00:47:00"
species: "deer", "horse", "fox"
If I use diff function:
diff(datetime)
Time differences in hours
[1] 19.5000 164.6333 #this shows time between first and second and second and third datetimes.
#
I have also tried:
base_time <- datetime[1]
later_times <- datetime[2:3]
later_times - base_time
diff(later_times)
This option combines all possible datetimes but it doesnt make sense if my data set has more than 3 rows...
As I need to calculate time difference between all photos, this should be:
"datetime2-datetime1", "datetime3-datetime1", "datetime4-datetime1",
"datetime3-datetime2", "datetime4-datetime3", etc.
I'm still learning R, so any help would be greatly appreciated!
I am having trouble understanding the values that I have saved in my Round Robin Database. I do a dump with rrdtool dump mydatabase and I get a dump of the data. I found the most recent update, and matched it to my rrd update command:
$rrdupdate --template=var1:var2:var3:var4:var5 N:15834740:839964:247212:156320:13493356
In my dump at the matching timestamp, I find these values:
<!-- 2016-12-01 10:30:00 CST / 1480609800 --> <row><v>9.0950245287e+04</v><v>4.8264158237e+03</v><v>1.4182428703e+03</v><v>8.9785764359e+02</v><v>7.7501969607e+04</v></row>
The first value is supposed to be var1. Out of scientific notation, that's 90,950.245287, which does not match up at all to my input value. (None of them are decimal.)
Is there something special I have to do to be able to convert values from my dump to get the standard value that I entered?
I can't give you specifics for your case, as you have not shown the full definition of your RRD file (internals, DS definition, etc), however...
Values stored in an RRDTool database are subject to Data Normalisation, and are then converted to Rates (unless the DS is of type Gauge in which case they are assumed to be rates already).
Normalisation is when the values are adjusted on a linear basis to make them fit exactly into the time sequence as defined by the Interval (which is often 300 seconds).
If you want to see the values stored exactly as you write them, you need to set the DS type to 'gauge', and make Normalisation a null step. The only way to do the latter is to store the values exactly on a time boundary. So, if the Interval is 300s, then store at 12:00:00, 12:05:00, and so on - otherwise the values will be adjusted.
There is a lot more information about Normalisation - what it is, and why it is done - in Alex van den Bogaerdt's tutorial
I am given a task to develop a website for maths students with questions and their explanations.The site will have around 20,000 questions.And I need an effective way(easy storage,faster querying and fast rendering) to store those questions into the database.
Sample Question
In the first 10 overs of a cricket game, the run rate was only 3.2. What should be the run rate in the remaining 40 overs to reach the target of 282 runs?
Required run rate = 282 - (3.2 x 10) = 250 = 6.25
---------------- -----
40 40
Questions is a simple string and can easily be stored.But the real problem is to store those expressions with brackets and divide into the database?
You could store the expressions in LaTeX in the database.
Edit:
You can use libraries like http://www.mathjax.org/ for client-side rendering of the equations.
You have several options to store a string representation of mathematical expressions: MathML, LaTeX or ASCIIMathML.
For displaying it in a web browser I recommend MathJax.
I have a dataset that has patient data according to the site they visited our mobile clinic. I have now written up a series of commands such as freqs and crosstabs to produce the analyses I need, however I would like this to be done for patients at each site, rather than the dataset as whole.
If I had only one site, a mere filter command with the variable that specifies a patient's site would suffice, but alas I have 19 sites, so I would like to find a way to loop through my code to produce these outputs for each site. That is to say for i in 1 to 19:
1. Take the i th site
2. Compute a filter for this i th site
3. Run the tables using this filtered data of patients at ith site
Here is my first attempt using DO REPEA. I also tried using LOOP earler.
However it does not work I keep getting an error even though these are closed loops.
Is there a way to do this in SPSS syntax? Bear in mind I do not know Python well enough to do this using that plugin.
*LOOP #ind= 1 TO 19 BY 1.
DO REPEAT #ind= 1 TO 20.
****8888888888888888888888888888888888888888888888888888888 Select the Site here.
COMPUTE filter_site=(RCDSITE=#ind).
USE ALL.
FILTER BY filter_site.
**********************Step 3: Apply the necessary code for tables
*********Participation in the wellness screening, we actually do not care about those who did FP as we are not reporting it.
COUNT BIO= CheckB (1).
* COUNT FPS=CheckF(1).
* COUNT BnF= CheckB CheckF(1).
VAL LABEL BIO
1 ' Has the Wellness screening'
0 'Does not have the wellness screening'.
*VAL LABEL FPS
1 'Has the First patient survey'.
* VAL LABEL BnF
1 'Has either Wellness or FPS'
2 'Has both surveys done'.
FREQ BIO.
*************************Use simple math to calcuate those who only did the Wellness/First Patient survey FUB= F+B -FnB.
*******************************************************Executive Summary.
***********Blood Pressure.
FREQ BP.
*******************BMI.
FREQ BMI.
******************Waist Circumference.
FREQ OBESITY.
******************Glucose.
FREQ GLUCOSE.
*******************Cholesterol.
FREQ TC.
************************ Heamoglobin.
FREQ HAEMOGLOBIN.
*********************HIV.
FREQ HIV.
******************************************************************************I Lifestyle and General Health.
MISSING VALUES Gender GroupDep B8 to B13 ('').
******************Graphs 3.1
Is this just Frequencies you are producing? Try the SPLIT procedure by the variable RCDSITE. Should be enough.
SPLIT FILES allows you to partition your data by up to eight variables. Then each procedure will automatically iterate over each group.
If you need to group the results at a higher level than the procedure, that is, to run a bunch of procedures for each group before moving on to the next one so that all the output for a group will be together, you can use the SPSSINC SPLIT DATASET and SPSSINC PROCESS files extension commands to do this.
These commands require the Python Essentials. That and the commands can be downloaded from the SPSS Community website (www.ibm.com/developerworks/spssdevcentral) if you have at least version 18.
HTH,
Jon Peck
A simple but perhaps not very elegant way is to select from the menu: Data/Select Cases/If condition, there you enter the filter for site 1 and press Paste, not OK.
This will give the used filter as syntax code.
So with some copy/paste/replace/repeat you can get the freqs and all other results based on the different sites.