Excel 2013 Bible by John Walkenbach

By John Walkenbach

Excel at Excel with assistance from this bestselling spreadsheet guide

John Walkenbach's identify is synonymous with excellence in laptop books that decipher the complexities of Microsoft Excel. referred to as "Mr. Spreadsheet," Walkenbach exhibits you ways to maximise the ability of Excel 2013 whereas bringing you in control at the most modern gains. This perennial bestseller is totally up to date to hide the entire new positive aspects of Excel 2013, together with how one can navigate the person interface, make the most of numerous dossier codecs, grasp formulation, research information with PivotTables, and more.

Whether you're an Excel newbie who's trying to get extra savvy or a complicated person trying to turn into an influence person, this most modern variation offers you entire insurance in addition to worthwhile information, methods, and methods that you just won't locate wherever else. stocks the useful perception of Excel guru and bestselling writer "Mr. Spreadsheet" John Walkenbach as he courses you thru each point of Excel 2013 offers crucial assurance of the entire most recent positive factors of Excel 2013 offers fabric in a transparent, concise, logical layout that's perfect for all degrees of Excel event includes a web site that comes with downloadable templates and worksheets from the book

Chart your route to fabulous formulation and stellar spreadsheets with "Excel 2013 Bible"!

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4)) [1] TRUE Ganze Zahlen sind vom Datentyp integer (und ebenfalls vom Typ numeric). 10 Qualitative Variablen 29 Will man R zu verstehen geben, dass man explizit mit einer ganzen Zahl umgehen möchte, so kann die Zahl direkt gefolgt von einem L (nicht durch Leer- oder Multiplikationszeichen getrennt) angegeben werden. Man kann mit solchen Zahlen und Vektoren wie mit numerischen Vektoren umgehen. Dabei ist dann aber zum Beispiel 5L + 3 vom Typ numeric aber nicht mehr vom Typ integer. Hingegen ist 5L + 3L vom Typ integer.

X[order(x)] ist identisch mit sort(x), wenn keine fehlenden Werte vorliegen. last mit dem das Verhalten bei Vorliegen fehlender Werte gesteuert werden kann. Dieses ist aber unterschiedlich voreingestellt. Beispiel. R sortiert sind. R an das Ende des erzeugten Positionsvektors gestellt. 0 67 5 28 ... 3 56 5 5 ... 6 87 8 6 Eine absteigende Sortierung erhält man, wenn man in sort() bzw. order() das Argument decreasing = TRUE setzt. Kapitel 6 Datensätze einlesen Möchte man mit eigenen Datensätzen arbeiten, so liegen diese in der Regel in einer bestimmten Form als Datei vor.

1. Logische Vergleichsoperatoren und Verknüpfungen Bemerkung. Ein Vektor, dessen Einträge nur aus den Schlüsselbegriffen TRUE und FALSE besteht, bezeichnen wir als logischen Vektor. Logische Vektoren entsprechen einem eigenen Datentyp in R. logical() kann man sogar überprüfen, ob der Vektor von diesem Typ ist. 1 zeigt einige Symbole, die zu logischen Vergleichen verwendet werden können. = 0 [1] TRUE FALSE TRUE TRUE TRUE elementweise überprüft, welche Elemente von Null verschieden sind. Ist das i-te Element von 0 verschieden, erhält das i-te Element im Ergebnis den Wert TRUE, andernfalls den Wert FALSE.

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