Difference between revisions of "Statistical Analysis"
Phdprepadmin (talk | contribs) (New page: ===Proc Means=== ===Proc Reg=== ===Proc Univariate=== ===Proc Freq=== ===Proc GLM=== proc glm data=data_set_name; class distinguishing_variable; model dependent ...) |
|||
| (3 intermediate revisions by one other user not shown) | |||
| Line 4: | Line 4: | ||
===Proc Univariate=== | ===Proc Univariate=== | ||
| + | |||
| + | proc univariate | ||
| + | data=stuff | ||
| + | freq | ||
| + | normal | ||
| + | plot | ||
| + | vardef=df; | ||
| + | var weight height; | ||
| + | |||
| + | Please see the follwing website for more help: | ||
| + | *[http://javeeh.net/sasintro/intro133.html Proc Univariate Help] | ||
===Proc Freq=== | ===Proc Freq=== | ||
| + | proc freq | ||
| + | data=info | ||
| + | page; | ||
| + | by x; | ||
| + | tables y*z | ||
| + | /chisq | ||
| + | expected | ||
| + | exact | ||
| + | sparse | ||
| + | nocum | ||
| + | nopercent | ||
| + | nocol | ||
| + | norow; | ||
| + | run; | ||
| − | + | For more help on Proc Freq please see the following website: | |
| + | * [http://javeeh.net/sasintro/intro102.html Proc Freq Help] | ||
===Proc GLM=== | ===Proc GLM=== | ||
| Line 24: | Line 50: | ||
[http://javeeh.net/sasintro/intro103.html GLM reference page] | [http://javeeh.net/sasintro/intro103.html GLM reference page] | ||
| + | |||
| + | |||
| + | ---- | ||
| + | {|style="width:100%;margin-top:+.7em;" | ||
| + | |-align="center" | ||
| + | ! style="background:#fafaFe; color:black; height: 20px" | <small>[[Main Page]] ► [[Research]] ► [[Researching Resources]] ► [[SAS Coding Help]] ► [[Statistical Analysis]]</small> | ||
| + | |} | ||
Latest revision as of 13:46, 21 February 2011
Proc Means
Proc Reg
Proc Univariate
proc univariate
data=stuff
freq
normal
plot
vardef=df;
var weight height;
Please see the follwing website for more help:
Proc Freq
proc freq
data=info
page;
by x;
tables y*z
/chisq
expected
exact
sparse
nocum
nopercent
nocol
norow;
run;
For more help on Proc Freq please see the following website:
Proc GLM
proc glm
data=data_set_name;
class distinguishing_variable;
model dependent = independent;
run;
example:
proc glm
data=pig;
class litter;
model weight = litter;
run;
| Main Page ► Research ► Researching Resources ► SAS Coding Help ► Statistical Analysis |
|---|
