Displaying 7 results from an estimated 7 matches for "0.0820".
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0.0120
2020 Aug 23
2
sum() vs cumsum() implicit type coercion
Hi
I noticed a small inconsistency when using sum() vs cumsum()
I have a char-based series
> tryjpy$long
[1] "0.0022" "-0.0002" "-0.0149" "-0.0023" "-0.0342" "-0.0245" "-0.0022"
[8] "0.0003" "-0.0001" "-0.0004" "-0.0036" "-0.001" "-0.0011"
2011 Jan 07
1
Currency return calculations
Dear sir, I am extremely sorry for messing up the logic
asking for help w.r.t. my earlier mails
I have tried to explain below what I am looking for.
I have a database (say, currency_rates) storing datewise
currency exchange rates with some base currency XYZ.
currency_rates <- data.frame(date =
c("12/31/2010", "12/30/2010", "12/29/2010",
2020 Aug 25
1
sum() vs cumsum() implicit type coercion
>>>>> Tomas Kalibera
>>>>> on Tue, 25 Aug 2020 09:29:05 +0200 writes:
> On 8/23/20 5:02 PM, Rory Winston wrote:
>> Hi
>>
>> I noticed a small inconsistency when using sum() vs cumsum()
>>
>> I have a char-based series
>>
>> > tryjpy$long
>>
>> [1]
2012 Jul 06
2
Anova Type II and Contrasts
the study design of the data I have to analyse is simple. There is 1 control group (CTRL) and 2 different treatment groups (TREAT_1 and TREAT_2).
The data also includes 2 covariates COV1 and COV2. I have been asked to check if there is a linear or quadratic treatment effect in the data.
I created a dummy data set to explain my situation:
df1 <- data.frame(
Observation =
2020 Aug 25
0
sum() vs cumsum() implicit type coercion
On 8/23/20 5:02 PM, Rory Winston wrote:
> Hi
>
> I noticed a small inconsistency when using sum() vs cumsum()
>
> I have a char-based series
>
> > tryjpy$long
>
> [1] "0.0022" "-0.0002" "-0.0149" "-0.0023" "-0.0342" "-0.0245" "-0.0022"
>
> [8] "0.0003" "-0.0001"
2011 Jan 07
0
Odp: Currency return calculations
My mistake sir. I was literally engrossed in my stupid logic, and while doing so, overlooked the simple and very effective solution you had offered. Sorry once again sir and will certainly try to be very careful in future.
Thanks again and have a great weekend sir.
Regards
Amelia
--- On Fri, 7/1/11, Petr PIKAL <petr.pikal@precheza.cz> wrote:
From: Petr PIKAL
2006 Jul 17
1
sem: negative parameter variances
Dear Spencer and Prof. Fox,
Thank you for your replies. I'll very appreciate, if you have any ideas concerning the problem described below.
First, I'd like to describe the model in brief.
In general I consider a model with three equations.
First one is for annual GRP growth - in general it looks like:
1) GRP growth per capita = G(investment, migration, initial GRP per