I hope to see Chuck again this week at the Ragan Corporate Communications in a Web 2.0 World conference at the SAS headquarters in Cary, NC. I'm unfortunately going to be traveling during his presentation, but will plan to connect with him later in the conference.

Chuck is turning his experience with LinkedIn into a new book that will be released later this year. It's called Linking In to Pay it Forward: Changing the Value Proposition in Social Media. You can read about it on Chuck's Pay it Forward blog. So when Chuck asked me for the "Small Good" of giving his book a shout out, I was glad to help.

One of the things I appreciate about the social media world is the "pay it forward" philosophy. Much of what I'm doing with SMUG is experimenting publicly with different tools and techniques. Then, after I've worked out the kinks and gotten hands-on experience with the tools, I can confidently recommend the best ways to use them in my work environment. And I figure if I can help others by letting them learn from my experimentation, that's a worthwhile service.

But I can't experiment with everything; I personally haven't used LinkedIn nearly as much as Facebook. So if Chuck would like to write a guest post with some highlights from his new book, I'd be happy to confer Associate Professor status and make him a SMUG faculty member.

4. SLEEPING IN A WET HAMMOCK

I shall never complain about sleeping rough again.... although comparing my Jungle bed experience to the rest of the locations we went to, my hammock was like a luxury bed made for a king!

We slept in these hammocks (like a body bag with a zip... you actually get inside the bag) , tied between 2 trees, with the basher (see previous blog) over the top to keep us supposedly "dry". You can't sleep on the Jungle floor... too many creepy crawlies wanting to share your space. When sleeping in the Jungle you have to have 2 sets of clothes... wet clothes and dry clothes. On the last night, I remember putting on my dry clothes ready for bed, head torch on, tick check complete, only to discover that my hammock was soaking wet!! It was so horrible to sleep in, and the rain just kept coming down. I would sleep in my hammock with it zipped right up to the top (how I could breathe I don't know) but I really wasn't prepared to share my bed with any sort of creature....

5. SNAKE BUT NO LADDERS...

After the Jungle experience was over, we had to walk back to the base camp which was an eco lodge located about 5-7k away. It must have been about 3 or 4pm as it was starting to get dark... in the Jungle it gets dark very quickly very early. We were walking back and I saw this massive snake stretched out over the floor, it had orange marks on it and it was huge. I was about to step over it (as you do!!) and it started to coil back into itself. They do this when they are scared and want to attack!! I was so tired, that the thought of stepping over it didn't even register!!

I think the snake was a Red Tail Boa.. not sure if they are deadly, but it was big enough!

This got me thinking that I really cannot understand why anyone would want to keep a snake as a pet?

Anyway... changing the subject slightly, did anyone see the the Asics tube run last week? Check it out below, it is absolutely amazing.

Asics did a "man versus machine" as part of their launch of their new shop in London.

I have never been able to understand why everyone in London is in such a rush, pushing past to get to their train, but then stand on the escalator?? If your in that much of a rush surely you should keep moving?

My point with the Youtube video above... just like my Jungle experience... It just goes to show that if you really put your mind to something... anything is possible...

No time like the present.... No more excuses.... No more 'but when I'......Get your trainers on and go....

I am going to do another blog over the weekend with my 'Top 10 Jungle Survival Tips', so keep checking back...

Bye for now x

1. THE FLY-OVER THE JUNGLE

We took 4 flights to get to Guyana.. the first 3 being just getting to South America, and then the last flight, which was from Guyana to the Rain Forest. The plane was tiny....12 of us in the plane in total. I really like flying and find it really captivating looking down at the land below as we take off.

The Rain forest is like nothing else I have ever seen. It literally just goes on for miles and miles, exactly like the wildlife progrmmes!!... as far as the eye can see. It was at this point that reality struck me that I wasn't on some glorious holiday .. but that whatever was down there was going to be tough and mentally I was going to have to prepare for what ever was thrown at me.

2. THAT TORTOISE

Without going into too much detail, the tortoise that was killed and eaten in the Jungle was upsetting for me as I have a pet tortoise!! Her name is Billy and she has been around for ages!! She was originally washed up on the Thames river (so my mum tells me) and we were asked to keep her. This was a good 30 years ago... she has escaped twice... but is still going strong!! Anyway, I have apologised to Billy and we are back on talking terms.

3. TOILET 'NUMBER TWO'S'

Ok, again without going into too much detail.... going to the toilet was......well, nothing quite like I've ever experienced. We literally were going to the toilet on the floor, ok, the flora and fauna was beautiful, but you kind of don't notice it when there's a possibility of being bitten in your nether regions by a snake! Also, it's really difficult as a girl to squat on the floor.. blokes? They can just whip it out. Girls? Different kettle of fish... and trying not to wee on your clothes.. well, don't even get me started! However, compared to Norway, the Jungle floor was like a luxury en suite bathroom. Having a 'number 2' in the middle of the Rainforest, with your buddy standing close by (we always had to go to the toilet in two's- just like girls do normally, minus borrowing the lip gloss/sending drunken texts/or asking "where did you buy your top" to a random stranger - yes that is what girls do in the loo). Put it this way.. I know what to do if I'm caught short and there is no toilet paper.......

I'm having a good time reminising of my fond memories. However, I am tired and bed beckons so I shall fill you in tomorrow with with my last 2 memorable moments.

Bye for now x

The most excellent Strange Maps blog has just published an article about The Guardian's fondly remembered 1977 April Fool supplement on the island of San Serriffe.

(Well, I say fondly remembered, though I do not personally remember the, fondly or otherwise, seeing as I was only rising one at the time. Over the years I became aware of it, though, by way of the 1999 reboot of the spoof, and also in much the same osmotic way as I know about the Tomorrow's World piece on spaghetti trees.)

Talking of fake-stories-as-Grauniad-news, I am reminded of the (and correct me if I am wrong) 1976 piece the paper published in which a reporter related the story of his chance encounter with a member of the SAS on a train.

The journalist - a sceptic of the British military strategy in Northern Ireland - had recently been writing about the deployment of SAS troops to the province, and in none too complimentary terms. IIRC he suggested they were swaggering cowboys who offered little to the peaceful resolution of the Troubles.

And lo, by complete serendipity he happened to meet one such soldier (in civvies) on an InterCity, who, during the course of a spontaneously-struck up conversation, turned out to be articulate, erudite, and anything but macho. His opinions on British policy in Ulster shifted slightly, and he wrote up the story for the paper.

Then many years later it transpired that the whole 'chance encounter' had been a psyops fabrication; the journalist had been picked out as a possible target and a well-briefed and affable serviceman been placed on a train he was known to be travelling on in order to casually strike up a conversation with a view to modifying his opinions.

I've no idea whether that is a true story, as I can't remember where I read it. Perhaps I imagined it? But it sounds like it might be a Colin Wallace one. I know the original story exists, as I read it in one of those Guardian Yearbook thingummies which they used to publish.

Can anyone fill in the details? The source of this tale swimming round my rapidly-shrinking brain? The journalist it seems to be about? The year, even?

Scoring new observations without changing the cluster assignment rules can be achieved by using a SEED dataset in PROC FASTCLUS.

/*original clustering */

%let indsn = input;  *your input dataset;
%let nclus = maxclus; *number of clusters to request;
%let indvars = varlist; *independent variables to run proc fastclus on;
%let valid = val_data; *validation dataset to score;

proc fastclus data=&indsn maxclusters = &nclus outseed= clusterSeeds;
var &indvars;
run;

/*scoring new observations using the seed dataset */
proc fastclus data=&valid  out=&valid._scored seed = clusterSeeds maxclusters = &nclus maxiter = 0;
var &indvars;
run;

Reference:
"Data Preparation for Analytics Using SAS" By Gerhard Svolba, Gerhard Svolba, Ph.D.

Dünyada üzerine kuvvet tanınmayacak Türk ordusunun deniz kuvvetlerine ait bazı fotoğraflar gördüm. İnsanın tüylerini diken diken eden, boğazımıza birşeylerin düğümlenmesine neden olan ve çoğumuzun gururlanmasına neden olan fotoğraflar bunlar.

Omurgasını SAT ve SAS komandolarının oluşturduğu Türk Deniz Kuvvetleri’nde komando olarak görev yapan askerlerimizin tatbikat sırasında verdiği pozları konu edinen bu fotoğraflar eşsiz bir haz verdi bana. Vatanımız böylesine güçlü kuvvetlere emanet olduktan sonra gözümüzün arkada kalmasına hiç ama hiç gerek yok…

Resimlerin tamamını görmek için şuraya bakabilirsiniz.

Les options de l'instruction PROC DATASETS donnent la possibilité de supprimer, dans une bibliothèque donnée, tous les fichiers sans distinction de nom (KILL). Certains options réduisent la sélection à certains types de fichiers (MEMTYPE). L'affichage par défaut dans les fenêtres OUTPUT et LOG est contrôlable avec d'autres options (NOLIST et NOWARN). Pour ajouter un peu de flexibilité, il est possible de nommer les fichiers à supprimer ou à garder dans des instructions complémentaires (DELETE et SAVE).

1. Un option pour supprimer tous les fichiers quelque soit leur nom, KILL : Pour supprimer tous les fichiers SAS contenu dans une bibliothèque temporaire, il suffit d'ajouter l'option KILL à l'instruction PROC DATASETS.

2. Par défaut, supprimer tous les types de fichiers MEMTYPE=ALL : En effet, l'option MEMTYPE est par défaut égale à tout (MEMTYE=ALL). Cela comprend 3 types de fichiers :

• data sets (MEMTYPE=DATA),
• vues (MEMTYPE=VIEW) ou
• catalogues (MEMTYPE=CATALOG),

Cela veut dire que les formats, qui sont toujours sauvegardés dans un CATALOG, sont également supprimés.

3. Par défaut, supprimer les fichiers de la bibliothèque temporaire, LIB=WORK : De plus, par défaut, la bibliothèque est temporaire (LIB=WORK) est concernée.

Un premier exemples : Les deux procédures suivantes donnent le même résultat.

proc datasets kill;
quit;

proc datasets lib=work
memtype=all
kill;
quit;

4. Supprimer l'affichage dans la fenêtre OUTPUT avec l'option NOLIST : Pour éviter un affichage dans la fenêtre OUTPUT, vous pouvez ajouter l'option NOLIST ou encadrer la procédure entre deux instructions ODS :

• ODS LISTING CLOSE : stopper la redirection par défaut vers la fenêtre OUTPUT
• ODS LISTING : réactiver la redirection vers la fenêtre OUTPUT

5. Désigner les fichiers à garder ou supprimer par leur nom

Deux instructions, soit DELETE, soit SAVE permettent de se concentrer sur quelques fichiers en particulier à supprimer ou non quand l'option KILL n'est pas présente.

Si le type d'un fichier est différent de la majorité des fichiers listés dans l'instruction DELETE (ou SAVE), le type est à définir entre parenthèse avec le mot-clé MEMTYPE= après son nom.

Un second exemple en deux parties

Dans l'exemple qui suit, deux formats  (GENDER et GRP) créés dans la bibliothèque SASREF et tous les data sets de la bibliothèque SASHELP incluant le data set CLASS y sont également copiés.

libname sasref 'C:/sasref/blog';

proc format lib=sasref;
value gender 1='Male'
2='Female';
value grp    1='Per Protocol (PP)'
2='Intent to Treat (ITT)'
3='Safety';
run;

proc copy in=sashelp out=sasref memtype=data;
run;

Par défaut, tous les data sets listés dans l'instruction DELETE sont supprimés. A cela s'ajoute le catalogue contenant le format GRP. Il restera donc le format GENDER et tous les data sets sauf CLASS dans la bibliothèque SASREF.

proc datasets lib=sasref
memtype=DATA;
delete class grp (memtype=catalog);
run;

6. Supprimer un fichier qui n'existe pas

Dans certains cas, le nom des fichiers créés dans un programme varie. A la phase de suppression, le fichier manquant sera assortie d'une note dans la LOG:

NOTE: The file SASREF.GENDRE (MEMTYPE=CATALOG) was not found but appear on a DELETE statement.

Deux options s'offrent à vous pour l'éviter :

• Ajouter l'option NOWARN : dans l'instruction PROC DATASETS, l'option empêchera l'affichage de la note sur les fichiers manquants.
• Exécuter l'instruction conditionnellement : identifier les fichiers à supprimer au préalable via les dictionnaires et les stocker dans une macro variable.

NOTE : Sachez que PROC COPY a son équivalent dans la procédure PROC DATASETS. Cela dépasse cependant l'objet de cet article.

Pour plus de détails sur la procédure PROC DATASETS, vous pouvez consulter la documentation en ligne de SAS : The DATASETS Procedure.

Kudos to Editor-in-Chief Carol Wilson, marketing chief Kim Brower, all the editors including Rich Karpinski, Kevin Fitchard, Sarah Reedy, Ed Gubbins and the entire cast of Telephony magazine for doing a stupendous job on what I believe is the second time for this conference. Congratulations Carol and team !! Great job and I look forward to more of these in the future.

First on the panel I participated in :

I was in the panel "Service Gets Personal" along with some other distinguished telecom execs - Nancy Kaplan from SECOR Consulting, Ken King from SAS and David Allred from SezMi, a stellar team of telecom experts from blue chip firms. The panel was moderated by the Chief Editor of Telephony magazine Carol Wilson.

Carol, Nancy, Ken and David - It was a pleasure and I appreciate the opportunity. I whole-heartedly enjoyed the spirited discussion and felt enriched by the keen insights offered.

The topic concerned the implications and importance of service personalization in telecom and mobile offerings. Pretty much all panel members agreed that with brutal competition in telecom industry and commoditization of the old bread and butter voice revenue, service personalization is all but inevitable.

Broadly, service personalization means taking customer demographics, customer's location, customer's permission, customer control etc into account while disbursing relevant services and / or rendering marketing messaging to the customer base. Service personalization allows providers to create new revenue streams, retain existing customers and keep their offerings differentiated and innovative in midst of what is a highly competitive and fast-moving communication services market. The various techniques used to achieve personalization include :

- location - to render location-sensitive mobile advertising, in-proximity marketing or media

- customer demographics from social networks or customer profiles

- customer opt-in permissioning ( as opposed to spamming )

- reviewing customer's past usage history or buying patterns such as used by telco operators to determine what new services should be offered

Interestingly iPhone, the new game-changing mobile phone has shown that mobile web can get 10 times the adoption with the right ecosystem and device support. This has created a race to capitalize on this new channel from all members in the ecosystem. Amid this application, device and media frenzy triggered by mobile web as on an iPhone, personalized services promise to get the customer's attention, thereby creating new revenue streams and brand new players like Apple, Google, Loopt, in the mobile ecosystem.

Business Intelligence firms like SAS are sitting on prime customer intelligence data which can be mined for detecting customer patterns and offering more personalized services. SezMi has a breakthrough internet TV product soon to be launched which promises to bring internet style control to the TV experience. Consulting firms like SECOR and CellStrat stand ready to help CIOs, CTOs and CMOs sort through the service jungle and create viable and compelling solution offerings.

Challenges to service personalization are many, eg privacy concerns including location and data privacy, risk of spam, regulatory hurdles (eg FCC penalizing Comcast on Deep Packet Inspection), device and technology fragmentation (too many devices and standards).

On Telephony Live Conference :

The conference had some great keynote speakers, viz Daniel Kelly (Exec VP, Tellabs), Hardik Bhatt (CIO, City of Chicago), Andrew Lippman (Fellow, MIT Media Lab), Jeong Kim (President of Bell Labs). All offered immense insight into the future of communications and the role of communications industry in modern society. Hardik Bhatt presented some interesting use cases from the way the City of Chicago is using communication services and technology to enhance the lives of city dwellers. Andrew Lippman offered some really insightful advice on how it is about "We, not Me" anymore. Essentially he sought to convey that one must always think of social aspect rather than individualistic service (I don't believe this conflicts with service personalization before as some might suggest, we are on two different planes here). Jeong Kim discussed innovation and its role in modern world and how innovation has a slightly different perspective in research and industry circles.

There were many other panel discussions with some excellent industry thought leaders and executives. All in all, a great and enriching experience for all and me in particular.

Carol and team - Awesome job. Look forward to other events like this from the Telephony team.

"considerable gameplay improvements, the most significant of which sounds like "increased responsiveness" from passing, dribbling and the physical pushing and shoving that occurs in a game. Goalkeepers can reach behind their bodies if they misjudge a shot on goal.".

For those who read any details regarding Fifa before release, you'd no doubt have read that EA were making vast improvements to the Computer AI, especially goalies. At first this sounded very exciting - Who wouldn't want a more realistic version of Fifa? Everyone would.. Everyone but EA Sports that is.

You see, Fifa 09 is not realstic in regards to goalkeeping, and the claim that they are far more intelligent is an understatement. Fifa 09 goalies are more than just goalies, they are Cyborgs; they have IQ's higher than that of god and have been trained by the SAS in not only the art of war, but also the art of 'Bernard's Watch'. Yes, not only do they posses the power to be complete annoying cocks, but also to stop time. It's a bit like Neo off the Matrix; they have all the powers that Neo has (the most obvious: stopping time) as well as ones that Neo doesn't posses: the ability of having a dress sense. Now I'm not taking the piss out of Neo's attire, it's just that Goalkeepers who look like they are squatting on the toilet whilst having a shit in shorts look better than his gay leathery trousers and coat. I mean come on, what was he thinking? To me, Neo gives off the 'wrong vibes' and it doesn't exactly help with the theory of him 'being so far in the closet, he's practically in Narnia'.

I love you Fifa, I'm just not 'in love' with you.

proc gam

Note sur d'autres sources d'informations : Sachez, par ailleurs, qu'il existe d'autres moyens que la bibliothèque DICTIONARY pour accéder aux métadonnées.

• Reconstituées les data sets de référence avec des VIEWS : Les données peuvent être reconstituées à partir de vues (VIEWS) stockées dans la bibliothèque SASHELP. La procédure SQL ainsi que le data step peuvent s'en servir.
• Passer par une procédure : la procédure PROC DATASETS dispose de l'instruction CONTENTS syntaxe plus récente que le PROC CONTENTS.

La documentation SAS sur le sujet fait partie de Concepts : SQL Procedure.

1. Le dictionnaire décrivant les data sets : DICTIONARY.TABLES

Le dictionnaire TABLES contient une ligne par data set. Parmi les informations caractérisant un data set, celles qui me servent le plus souvent sont :

• La variable LIBNAME : le nom de la bibliothèque (library) sauvegardé dans la variable LIBNAME (library name)
• La variable MEMNAME : le nom du data set sauvegardé dans la variable MEMNAME. Entendez par là member name.

et de temps en temps

• La variable MEMTYPE : le type de fichier dans les dictionnaires TABLES et COLUMNS est soit DATA ou VIEW. DATA reste le type de fichier le plus fréquemment utilisé.
• La variable NOBS : le nombre d'observations dans le data set est sauvegardé dans la variable NOBS.

Liste de toutes les variables avec leur label :

• Library Name (libname)
• Member Name (memname)
• Member Type (memtype)
• Dataset Label (memlabel)
• Dataset Type (typemem)
• Date Created (crdate)
• Date Modified (modate)
• Number of Observations (nobs)
• Observation Length (obslen)
• Number of Variables (nvar)
• Password Protection (protected)
• Compression Routing (compress)
• Encryption (encrypt)
• Number of Pages (npage)
• Percent Compression (pcompress)
• Reuse Space (reuse)
• Bufsize (bufsize)
• Deleted Observations (delobs)
• Type of Indexes (indxtype)
• Data Representation (datarep)
• Requirements Vector (reqvector)

2. Le dictionnaire décrivant les variables : DICTIONARY.COLUMNS

Le dictionnaire COLUMNS contient une ligne par variable.

Les informations sur le fichier source : Comme précédemment, le nom du data set (MEMNAME) contenant la variable et sa bibliothèque (LIBNAME) sont des informations très importantes. Le MEMTYPE dest aussi fourni.

Le nom de la variable (NAME) : Le nom de la variable est sauvegardé dans la variable NAME. Les valeurs sont soient en minuscule, soit en majuscule, soit un mélange des deux.

Cela dépend de la manière dont le nom a été saisi la première fois lors de la création de la variable.

Les détails les plus usuels : je consulte le plus souvent le type de la variable : pour les variables texte, la variable TYPE prend la valeur "char" et pour les variables numériques, elle prend la valeur "num". C'est différent de la sortie d'un PROC CONTENTS qui prend des valeurs numériques.

Les détails occasionnels : Après viennent par exemple :

• la longueur de la variable (LENGTH)
• le format de la variable (FORMAT)
• le label de la variable (LABEL)
• le numéro de la variable dans le data set (VARNUM)

Liste de toutes les variables dans DICTIONARY.COLUMNS avec leur label :

• Library Name (libname)
• Member Name (memname)
• Member Type (memtype)
• Column Name (name)
• Column Type (type)
• Column Length (length)
• Column Position (npos)
• Column Number in Table (varnum)
• Column Label (label)
• Column Format (format)
• Column Informat (informat)
• Column Index Twpe (idxusage)

3. Majuscule ou minuscule

Dans le dictionaire DICTIONARY.TABLES et dans le dictionnaire DICTIONARY.COLUMNS, le nom de la bibliothèque (LIBNAME) et le nom du data set (MEMNAME) sont sauvegardés en majuscule.

Le nom des variables varie dans un dictionnaire selon la première saisie faite du nom lors de sa création.

Pour éviter des erreurs, il est donc plus simple de faire des comparaisons après avoir mis les valeurs contenues dans les dictionnaires dans la même style : tout majuscule ou tout minuscule ou seul la première lettre en majuscule. Vous pouvez consulter l'article "Majuscule ou minuscule sous SAS".

4. Deux exemples

Dans ce premier exemple tous les data sets SAS de la bibliothèque SASHELP sont listés.

proc sql;
   select libname, memname
   from dictionary.tables
   where upcase(libname)='SASHELP' and
         upcase(memtype)='DATA';
quit;

Dans ce second exemple, toutes les variables caractères du data set CLASS stocké dans la bibliothèque SASHELP sont affichées avec leur position.

proc sql;
   select name, varnum
   from dictionary.columns
   where upcase(libname)='SASHELP' and
         upcase(memname)='CLASS' and
         upcase(type)='CHAR';
quit;

5. Lister toutes les variables

Lister toutes les variables grâce au symbole étoile : La liste des variables contenues dans les dictionnaires TABLES and COLUMNS ici n'est pas exhaustive. Vous pouvez remplacer le nom des variables à garder par une étoile (*) afin de les voir toutes.

Afficher le nom des variables et non les labels en changeant l'option globale : Par défaut, le nom des variables n'apparaît pas dans l'OUTPUT mais le nom de leur label. Pour afficher le nom de la variable, il suffira de remplacer l'option globale label.

Afficher sur une ligne : Enfin, le nombre de variables contenues dans un dictionnaire peut ne pas s'afficher sur une seule ligne.

• Changer le nombre de caractères imprimables sur la page. Ce nombre varie entre 64 et 256 (SAS Online Doc. : LINESIZE= System Option).
• Donner une largueur d'affichage identique pour toutes les variables. L'option FLOW= de l'instruction PROC SQL limite le nombre de caractères disponibles pour l'affichage des variables (SAS Online Doc. : PROC SQL Statement).  

options nolabel ls=255;

proc sql flow=10;
...
quit;

options label;

Pense-bête à télécharger : Il existe d'autres dictionnaires. Ils sont répertoriés dans le pense-bête de CodeCrafters Inc. : "Summary of SAS Dictionary Tables and Views". Vous y trouverez également la liste des VIEWS.

These gowns, at SAS, designed by Sascha of course, easily belong at a gala or in a palace, at an important opening or even a State event. They gleam and flatter, but do so in a way that sets your face off as the diamond in a setting rather than distracting from it.

Londres is designed feigning multiple silken body wraps over lace.  It is delicate and oh so feminine.

SAS, gown Londres, grey
(CS) Vogue, skin, Cashmere, peach-light
Tami McCoy, hair,  Cascade, midnight
JD Designs, jewelry, Silver Heart set
Adorned, Exoticwoods Tiara, white pearl
JD Designs, shoes, Silver Comet

Belle Epoque is like a dream come true: flowing, shimmering, begging to be touched.  The bodice evokes the image of shells and the fall of the silks is indeed like the waves that lift them.

SAS, gown, Belle Epoque
Peau, skin, Martine
Tami McCoy, hair, Princess, midnight
JD Designs, jewelry, Parker's Love Sonnet
JD Designs, shoes, Silver Comet

Delilah is rich, lush and oh it looks so silky.  The soft fur stola is purchased separately. Sasha has stola in a variety of colors so that you can match other gowns in the shop as well.

SAS, gown, Delilah, gold
SAS, stole, Fur Stola, peachy cream (sold separately)
(CS) Vogue,  skin, Cashmere, peach-light
Tami McCoy, hair,  Tender, sunkissed
JD Designs, jewelry, Mother of Pearl on Silver
JD Designs, shoes, Gold Comet

rsubmit;

filename source '/sourcefolder/myfile.pdf';
filename dest '/destinationfolder/myfile.pdf';

proc download infile=source outfile=dest binary; run;

endrsubmit;
signoff;

The BINARY option transfers files without any character translation (for example EBCDIC to ASCII) or insertion of record delimiters.

The simiar proc is PROC UPLOAD.

More information on this can be found from SAS site.

Merge statement in a data step approach is simple, but it requires you to sort the data first. For a large data set, it may be very time consuming. For example, I have a data set with 33mm records. It took me almost one hour to only sort the data on the server. Using PROC SQL, it only took 25 minutes to finish the whole merge process.

In this post, I am going to summarize the PROC SQL way to achieve the nodupkey option in data step.

proc sql;
create table comb as
select distinct a.*, b.id
from one a right join two b
on a.id= b.id
quit;

If you try above code, you won't get distinct match from dataset a as you use the nodupkey in the data step. The reason is that distinct option in proc sql is not the same as nodupkey but as nodup. In order to get the same results as nodupkey, we need to use an unknown function "monotonic()". Here's how:

proc sql;
create table comb as
select a.*,  b.response, b.id, monotonic() as rowid
from one a right join two b
on a.id = b.id
group by b.id
having rowid=min(rowid);
quit;

What the above code does is to find all the matches from table a for each id in table b and then group them by id. Using function monotonic(), we create a field rowid and then take only the first record ("having rowid = min(rowid)"). This works great when you merge large datasets.

Råkade ut för ett problem i Oslo, blev på hotellet av med mitt kredittkort, som det heter i västlandet. Utan kredittkort är jag lite naken. Tack och lov har jag en bra leverantör av kredittkort som gör att jag snabbt kan få ersättningskort eller ersättningspengar. Tack för det! Vägrar länka till dem eftersom vi tidigare haft en konflikt... Men nu var jag glad för dem. Företaget heter något som rimmar på American Sypress.

Bodde som jag ofta gör på Radisson Sas, det är alltid bra. Rekommenderas! Nu väntar dusch och sängen. Hemma! Skönt.

2 dl lätt-crème fraiche, 75 g färskost naturell, 45 g riven pepparrot (burk), salt, peppar

Gör så här:

Blanda samman såsen och smaka eventuellt av med salt och peppar.

SAS resumes seasonal flights

Scandinavian Airlines is expanding alternatives for travel to Europe this winter with the return of its Bangkok-Stockholm and Dubai - Copenhagen flights. A new route Delhi - Copenhagen is also added.

SAS - the biggest airline company in Scandinavia - offers cheap international flight tickets to Delhi with connection or departing from Copenhagen. Delhi is a new SAS destination and start operation on 27 October 2008. Our city guide will help you to find out what's up and what the best tips are from SAS crew and passengers. Delhi is a thoroughly inscrutable onion of a city, every layer you peel off reveals a still deeper layer of history. Rebuilt eight times by its many conquerors, it has been the seat of the Hindu, Muslim and British Empires.
What's up in Delhi
Humayun’s Tomb This incredible UNESCO-listed tomb, built by Haji Begum, wife of the second Mughal emperor Humayun, is an early example of the xquisite Islamic style that reached its ulmination in the most famous tomb on Earth, the Taj Mahal.	Shalom A trendy New Delhi wine bar that styles itself as a ‘Med lounge bar’ – big comfy sofas, Mediterranean cuisines and funky visuals.	Old Fort (purana Qila) This massive fortress with three gateways stands on the site of the ancient city of Indraprastha, mentioned in the Mahabharata Hindu text, and is the oldest part of Delhi. The fort was completed by the ruler Sher Shah in the mid-16th century.

Referent: Information lead from Travel Weekly News and Fly SAS website.

Redirect to SAS website available by click at SAS logo on top page.

• Agar siswa dapat melihat data nilai dengan mudah, dan terjamin privacynya baik nilai ulangan harian maupun nilai raport
• Agar siswa dapat mengetahui tagihan iuran sekolah mana saja yang belum dilunasi
• Melihat dan mendownload materi pelajaran yang diupload oleh guru baik dalam bentuk document,spreadsheet,Presentation,video maupun flash animation
• Melakukan ujian secara online , dan melihat hasilnya seketika itu juga setelah selesai melakukan tes
• Fitur tambahan seperti mengirim pesan ke teman maupun guru, melihat atau membuat pengumuman sekolah

untuk prototype dari aplikasi ini dapat dilihat di http://www.smkn26jakarta.sch.id/student. setelah lebaran ini insyaallah akan diteruskan dengan development untuk aplikasi guru.